Analytics jobs scenario in India is constantly evolving. Companies are looking to hire professionals who are well-versed with new
tech concepts such as analytics, big data, data science, artificial
intelligence and machine learning, among others. While
there may be a huge variation in the skills sets, experience and
education requirement for these professionals across various
cities and industries, there is a constant rise in the overall demand
for analytics professionals with new jobs being posted each day.
State of analytics in domestic firms in India 2017 - by AIM & Cartesian Consu...Analytics India Magazine
Analytics industry in gaining importance in India and is being deployed across various sectors such as banking, finance, e-commerce, retail, and telecom. Tapping on to the growing analytics industry, the study gives us a quick insight into how the analytics scenario is evolving in the domestic market.
This year’s study has been co-presented by Cartesian Consulting, a global analytics services firm specialising in customer, marketing, and business analytics. We looked at 20 large Indian firms across industries that have adopted analytics to improve business.
Analytics India Annual Salary Study aims to understand a wide range of current and emerging compensation trends in Analytics & Data science organisations across India. The idea is to provide a reference point on key aspects around analytics salaries in India and potential future HR trends. It brings a cumulative picture of salary trends across company type, skills, analytics tools, cities, experience level, education level etc.
The study details about analytics professionals across company types such as captive centres, domestic firms, IT service providers, consulting firm and others, spread across various Indian cities.
Gender gap is another crucial area covered as a part of this year’s salary study. The pay scale of women analytics professionals seems to be at a lower end compared to male counterparts, and the study presents you with exact numbers.
It has been carried out by Analytics India Magazine in association with Great Learning. All salaries mentioned in the study are in Lakhs (L), per annum, in Indian rupees (wherever not mentioned).
This study evaluates the scenario of analytics and data science hirings across various industries such as retail, telecom, e-commerce etc, across cities, requirements in terms of experience & education, hiring trends and much more.
Analytics And Data Science Jobs In India 2019 – By Great Learning & AIMRicha Bhatia
In our annual study with Great Learning, we examine the landscape of job requiring data science and analytics competencies and skills. Our market snapshot gives a quick view of the evolving talent market and highlights how employees need to develop a blend of skills to strive ahead in data science roles. The report clearly demonstrates while skills in Python and Java are highly sought-after, a professional programmer or a data analyst should have the ability to learn new coding languages.
Analytics & Data Science Industry In India: Study 2018 - by AnalytixLabs & AIMAnalytics India Magazine
The data analytics market in India is growing at a fast pace, with companies and startups offering analytics services and products catering to various industries. Different sectors have seen different penetration and adoption of analytics, and so is the revenue generation from these sectors.
The Analytics and Data Science Industry Study 2018 takes into account various trends that analytics industry in India is witnessing, revenue generated through various geographies, analytics market size by sector, across cities etc. It also takes into consideration analytics professionals in India across work experience and education.
This year’s study is brought to you in association with AnalytixLabs, a pioneer and one of the first analytics training institutes in India. The study is a result of extensive primary and secondary research conducted over a duration of two months, where we got in touch with analytics companies and professionals across various industries such as banking, finance, ecommerce, retail, pharma, healthcare and others.
Analytics India Salary Study 2019 – by AIM & AnalytixLabsRicha Bhatia
Our annual Analytics India Salary Study presented by AIM and AnalytixLabs looks at the distribution of average salaries across years of experience, job category, region, industry, education, gender and tools and skills.
Analytics & Data Science Industry in India: Study 2019 by AIM & Praxis Busine...Richa Bhatia
Our annual Analytics & Data Science Industry In India: Study 2019 by Analytics India Magazine and Praxis Business School identifies the key trends and revenue drivers for the analytics industry. We take stock of the burgeoning analytics industry in India — domestic and outsourcing, the leading revenue generators, the geographies served and where the analytics market is heading.
The analytics industry is growing for sure and Analytics India Magazine in association with AnalytixLabs brings the Analytics India Industry study 2017 covering all the aspects of the analytics industry. The study is a result of extensive primary and secondary research conducted over a duration of two months.
State of analytics in domestic firms in India 2017 - by AIM & Cartesian Consu...Analytics India Magazine
Analytics industry in gaining importance in India and is being deployed across various sectors such as banking, finance, e-commerce, retail, and telecom. Tapping on to the growing analytics industry, the study gives us a quick insight into how the analytics scenario is evolving in the domestic market.
This year’s study has been co-presented by Cartesian Consulting, a global analytics services firm specialising in customer, marketing, and business analytics. We looked at 20 large Indian firms across industries that have adopted analytics to improve business.
Analytics India Annual Salary Study aims to understand a wide range of current and emerging compensation trends in Analytics & Data science organisations across India. The idea is to provide a reference point on key aspects around analytics salaries in India and potential future HR trends. It brings a cumulative picture of salary trends across company type, skills, analytics tools, cities, experience level, education level etc.
The study details about analytics professionals across company types such as captive centres, domestic firms, IT service providers, consulting firm and others, spread across various Indian cities.
Gender gap is another crucial area covered as a part of this year’s salary study. The pay scale of women analytics professionals seems to be at a lower end compared to male counterparts, and the study presents you with exact numbers.
It has been carried out by Analytics India Magazine in association with Great Learning. All salaries mentioned in the study are in Lakhs (L), per annum, in Indian rupees (wherever not mentioned).
This study evaluates the scenario of analytics and data science hirings across various industries such as retail, telecom, e-commerce etc, across cities, requirements in terms of experience & education, hiring trends and much more.
Analytics And Data Science Jobs In India 2019 – By Great Learning & AIMRicha Bhatia
In our annual study with Great Learning, we examine the landscape of job requiring data science and analytics competencies and skills. Our market snapshot gives a quick view of the evolving talent market and highlights how employees need to develop a blend of skills to strive ahead in data science roles. The report clearly demonstrates while skills in Python and Java are highly sought-after, a professional programmer or a data analyst should have the ability to learn new coding languages.
Analytics & Data Science Industry In India: Study 2018 - by AnalytixLabs & AIMAnalytics India Magazine
The data analytics market in India is growing at a fast pace, with companies and startups offering analytics services and products catering to various industries. Different sectors have seen different penetration and adoption of analytics, and so is the revenue generation from these sectors.
The Analytics and Data Science Industry Study 2018 takes into account various trends that analytics industry in India is witnessing, revenue generated through various geographies, analytics market size by sector, across cities etc. It also takes into consideration analytics professionals in India across work experience and education.
This year’s study is brought to you in association with AnalytixLabs, a pioneer and one of the first analytics training institutes in India. The study is a result of extensive primary and secondary research conducted over a duration of two months, where we got in touch with analytics companies and professionals across various industries such as banking, finance, ecommerce, retail, pharma, healthcare and others.
Analytics India Salary Study 2019 – by AIM & AnalytixLabsRicha Bhatia
Our annual Analytics India Salary Study presented by AIM and AnalytixLabs looks at the distribution of average salaries across years of experience, job category, region, industry, education, gender and tools and skills.
Analytics & Data Science Industry in India: Study 2019 by AIM & Praxis Busine...Richa Bhatia
Our annual Analytics & Data Science Industry In India: Study 2019 by Analytics India Magazine and Praxis Business School identifies the key trends and revenue drivers for the analytics industry. We take stock of the burgeoning analytics industry in India — domestic and outsourcing, the leading revenue generators, the geographies served and where the analytics market is heading.
The analytics industry is growing for sure and Analytics India Magazine in association with AnalytixLabs brings the Analytics India Industry study 2017 covering all the aspects of the analytics industry. The study is a result of extensive primary and secondary research conducted over a duration of two months.
Analytics & Data Science In Indian Financial Sector - A Deep Dive 2019Richa Bhatia
The report titled, Analytics & Data Science In Indian Financial Sector - A Deep Dive 2019 by Analytics India Magazine & Jigsaw Academy gives a 360 degree overview of the financial analytics sector in India and gives a clear picture of leading financial companies that are moving up the value chain with a robust analytics practice and have a deep bench of financial analytics talent.
Data Science Leaders Outlook In India 2019: By AIM & SimplilearnRicha Bhatia
In its fifth year, our Data Science Leaders Outlook in India 2019 in collaboration with Simplilearn takes stock of the analytics landscape in India and how enterprises have moved up the analytics maturity index. What was once viewed as a competitive advantage is now powering the core operations and helping companies launch entirely new business models. Analytics and Data Science has changed the dynamics of the industry, spawning a winner-takes-all market.
Data Science Skills Study 2019 by AIM And Imarticus LearningPraj H
Our latest Data Science Skills Study 2019 by Analytics India Magazine and Imarticus Learning takes a deeper look into the key trends related to tools and technologies deployed across the sectors and how companies are staying ahead of the pack. As analytics and machine learning reaches deeper into operations, there is significant disruption at the workplace with data scientists and data analysts dabbling with newer tools.
In the latest edition of the Indian analytics study, AIM Research, in association with AnalytixLabs, provides insights on the overall analytics domain and the state of analytics across sectors and enterprises.
Addressing India's Reskilling Challenge - A Report By AIMRicha Bhatia
In our report, we dig into the educational stakeholder
landscape to see how they are transforming the skills market by
developing training courses and certification programmes that
correspond to in-demand skills required today. We look at the
type of educational institutions offering data and analytics
programs; how the educational landscape is changing in
response to the heightened demand for analytics skills and
what needs to be done to fill the skill gap.
State of data_science_in_domestic_indian_market_2019_aim_sasSrishti Deoras
This document provides an overview of analytics and data science adoption in large Indian companies based on a study conducted in 2019. Some key findings:
- Analytics adoption has increased to 70% of large firms from 64% last year. Sectors like banking, auto and e-commerce have nearly 100% adoption.
- Mumbai accounts for 44% of analytics functions, followed by Delhi and Bangalore which together account for 91% of functions.
- On average, analytics penetration is 2.5% of employees and tenure is 4 years, up from 2.8% and 3.4 years respectively last year.
- Telecom professionals have the highest experience at 10.2 years while e-commerce has the lowest tenure at
Data science ai_trends_india_2020_analytics_india_magazineSrishti Deoras
The document discusses key data science and AI trends to watch out for in India in 2020 according to a report by Analytics India Magazine and AnalytixLabs. Some of the major trends highlighted include the rise of hyper automation, development of more humanized AI products, advancements in natural language processing and conversational AI, increased focus on explainable AI, growth of augmented analytics, innovations in data storage technologies, greater emphasis on data privacy, raising awareness on ethical use of AI, and potential opportunities around quantum computing and data science. The report examines each of these trends in further detail to outline what companies and industries can expect to see changing or developing in the upcoming year.
Data Science & AI Trends 2019 By AIM & AnalytixLabsRicha Bhatia
This document discusses 10 data science and AI trends to watch for in India in 2019. It begins with an executive summary noting that enterprises are putting digital technologies like AI, machine learning, and analytics at the core of their transformations. It then discusses each of the 10 trends in more detail, with quotes from experts about how each trend will impact industries and businesses. The trends include more industries utilizing analytics and AI, deploying models for real-time use cases, using data analysis for informed customer engagement, increasing investment in data infrastructure, analytics becoming more pervasive, the need for greater collaboration, personalized products, making analytics more human-centric, replacing centralized data with a single customer view, and the growth of voice and AI assistants.
Study: Analytics and Data Science Jobs in India: 2020 – By Great Learning & AIMSrishti Deoras
This report outlines the functional analytics skills and programming languages that are most in-demand in the market. The report provides insights for recruiters and hiring companies so that they can study the demand for skills across the analytics function, and can identify and close any capability gaps across workforces. By highlighting the talent hotspots in the country, the report enables organisations to build a steady talent pipeline.
In the latest edition of the Indian analytics study, AIM Research, in association with AnalytixLabs, provides insights on the overall analytics domain and the state of analytics across sectors and enterprises.
State of Artificial Intelligence in India 2020Srishti Deoras
Report developed by AIMResearch, in association with Jigsaw Academy, on the Artificial Intelligence Market in India as AI emerges as one of the primary Data Science functions across Enterprises in India
Impact on Jobs across Emerging Technologies During the Current Pandemic Crisi...Srishti Deoras
Analytics India Magazine (AIM) along with Jigsaw Academy, has developed this study to focus on the impact on jobs across certain emerging technologies.
The document is an analytics salary study report presented by Analytics India Magazine and AnalytixLabs that examines salary trends in analytics roles in India. It provides an overview of emerging analytics job roles such as data scientist, data engineer, big data analyst, and data visualization analyst. These roles require skills in areas like machine learning, statistical analysis, data mining, programming, and working with big data platforms and tools. The report also studies salary trends across different cities, experience levels, skills, tools, and company types to help analytics professionals make informed career decisions.
India e retail (e-tailing) market, companies revenue analysis & forecast to 2015Renub Research
Renub Research (http://www.renub.com/report/india-e-retail-e-tailing-market-companies-revenue-analysis-forecast-to-2015-65) has announced the addition of the "India E-Retail (E-Tailing) Market, Companies Revenue Analysis & Forecast to 2015" report to its offering
Incorporating artificial intelligence into your business systems and processes is a journey unlike any other digital technology implementation. Here is a five-step process for navigating it successfully.
The document discusses business intelligence and analytics in India, including trends, challenges, and growth. It notes that while the industry in India is growing, it faces challenges like a lack of relevant data, shortage of skilled workers, fragmented market, and need for more domain-specific education. However, trends like a growing focus on industries like retail and banking, and increased use of mobile business intelligence, are supporting the growth of the industry. The industry is expected to reach revenues of $140 million in India by 2014.
The document summarizes key findings from a salary study of analytics professionals in India in 2016. Some of the main points are:
- The average salary was INR 9.5 lacs, with salaries highest in Mumbai at INR 11.4 lacs.
- Advanced analytics professionals earned the most at INR 12.1 lacs on average, while BI/reporting earned INR 7.1 lacs.
- Entry-level salaries were around INR 4.1 lacs on average but increased over 50% with experience.
The IT & ITeS sector in India is growing rapidly and is expected to reach $350 billion by 2025. India has become a global leader in IT & ITes exports, accounting for approximately 55% of the global sourcing market. The country has a large talent pool of technical graduates and is a preferred destination for outsourcing. The IT & ITeS industry contributes significantly to India's GDP and is one of the largest job creators in the country.
- A survey by Mercer found that Indian companies expect to increase base salaries by 10.5% in 2016, with the highest increases for life sciences, IT, and chemical industries at 10-11%.
- Approximately 48% of companies plan to hire more employees in 2016, led by the life sciences, IT, hi-tech, shared services, and chemical industries.
- Variable bonuses are expected to rise from 14.7% in 2014 to 15.4% in 2015, indicating better business performance compared to the previous year.
Everyone is talking about Artificial Intelligence — the new normal, which has entered almost every work process across industries. Enterprises are rethinking and strengthening their AI capabilities, using it as a tool to improve products and services. With AI becoming crucial to enterprise success, upskilling has become the new mantra among Indian IT professionals, who are keen to make an impact in their careers with Machine Learning and AI.
In our annual AI Study with Great Learning, we take a look at key AI trends dominating the Indian AI market-leading companies, professionals, salaries, jobs broken down by cities and how AI’s potential for industry growth has risen over the last few years. In the second half of the study, we cover AI literacy in India through Great Learning’s comprehensive AI/ML programs that are bridging the current skill gap and consequently boosting workforce transitions.
The document discusses the evolving role of business analysts and strategies for an online portal targeting business analyst job opportunities in India. It finds that the business analyst role now encompasses skills beyond documentation and IT, with analysts found in business units, IT departments, and change management. There is high demand for business analytics skills and salaries over $84,000 on average. An online portal is proposed to connect graduating students and professionals in India with business analyst job openings, as internet and job portal usage is growing rapidly in both urban and rural areas. The portal would focus on the largest markets of Karnataka, Maharashtra, and Tamil Nadu as most openings are located there.
Analytics & Data Science In Indian Financial Sector - A Deep Dive 2019Richa Bhatia
The report titled, Analytics & Data Science In Indian Financial Sector - A Deep Dive 2019 by Analytics India Magazine & Jigsaw Academy gives a 360 degree overview of the financial analytics sector in India and gives a clear picture of leading financial companies that are moving up the value chain with a robust analytics practice and have a deep bench of financial analytics talent.
Data Science Leaders Outlook In India 2019: By AIM & SimplilearnRicha Bhatia
In its fifth year, our Data Science Leaders Outlook in India 2019 in collaboration with Simplilearn takes stock of the analytics landscape in India and how enterprises have moved up the analytics maturity index. What was once viewed as a competitive advantage is now powering the core operations and helping companies launch entirely new business models. Analytics and Data Science has changed the dynamics of the industry, spawning a winner-takes-all market.
Data Science Skills Study 2019 by AIM And Imarticus LearningPraj H
Our latest Data Science Skills Study 2019 by Analytics India Magazine and Imarticus Learning takes a deeper look into the key trends related to tools and technologies deployed across the sectors and how companies are staying ahead of the pack. As analytics and machine learning reaches deeper into operations, there is significant disruption at the workplace with data scientists and data analysts dabbling with newer tools.
In the latest edition of the Indian analytics study, AIM Research, in association with AnalytixLabs, provides insights on the overall analytics domain and the state of analytics across sectors and enterprises.
Addressing India's Reskilling Challenge - A Report By AIMRicha Bhatia
In our report, we dig into the educational stakeholder
landscape to see how they are transforming the skills market by
developing training courses and certification programmes that
correspond to in-demand skills required today. We look at the
type of educational institutions offering data and analytics
programs; how the educational landscape is changing in
response to the heightened demand for analytics skills and
what needs to be done to fill the skill gap.
State of data_science_in_domestic_indian_market_2019_aim_sasSrishti Deoras
This document provides an overview of analytics and data science adoption in large Indian companies based on a study conducted in 2019. Some key findings:
- Analytics adoption has increased to 70% of large firms from 64% last year. Sectors like banking, auto and e-commerce have nearly 100% adoption.
- Mumbai accounts for 44% of analytics functions, followed by Delhi and Bangalore which together account for 91% of functions.
- On average, analytics penetration is 2.5% of employees and tenure is 4 years, up from 2.8% and 3.4 years respectively last year.
- Telecom professionals have the highest experience at 10.2 years while e-commerce has the lowest tenure at
Data science ai_trends_india_2020_analytics_india_magazineSrishti Deoras
The document discusses key data science and AI trends to watch out for in India in 2020 according to a report by Analytics India Magazine and AnalytixLabs. Some of the major trends highlighted include the rise of hyper automation, development of more humanized AI products, advancements in natural language processing and conversational AI, increased focus on explainable AI, growth of augmented analytics, innovations in data storage technologies, greater emphasis on data privacy, raising awareness on ethical use of AI, and potential opportunities around quantum computing and data science. The report examines each of these trends in further detail to outline what companies and industries can expect to see changing or developing in the upcoming year.
Data Science & AI Trends 2019 By AIM & AnalytixLabsRicha Bhatia
This document discusses 10 data science and AI trends to watch for in India in 2019. It begins with an executive summary noting that enterprises are putting digital technologies like AI, machine learning, and analytics at the core of their transformations. It then discusses each of the 10 trends in more detail, with quotes from experts about how each trend will impact industries and businesses. The trends include more industries utilizing analytics and AI, deploying models for real-time use cases, using data analysis for informed customer engagement, increasing investment in data infrastructure, analytics becoming more pervasive, the need for greater collaboration, personalized products, making analytics more human-centric, replacing centralized data with a single customer view, and the growth of voice and AI assistants.
Study: Analytics and Data Science Jobs in India: 2020 – By Great Learning & AIMSrishti Deoras
This report outlines the functional analytics skills and programming languages that are most in-demand in the market. The report provides insights for recruiters and hiring companies so that they can study the demand for skills across the analytics function, and can identify and close any capability gaps across workforces. By highlighting the talent hotspots in the country, the report enables organisations to build a steady talent pipeline.
In the latest edition of the Indian analytics study, AIM Research, in association with AnalytixLabs, provides insights on the overall analytics domain and the state of analytics across sectors and enterprises.
State of Artificial Intelligence in India 2020Srishti Deoras
Report developed by AIMResearch, in association with Jigsaw Academy, on the Artificial Intelligence Market in India as AI emerges as one of the primary Data Science functions across Enterprises in India
Impact on Jobs across Emerging Technologies During the Current Pandemic Crisi...Srishti Deoras
Analytics India Magazine (AIM) along with Jigsaw Academy, has developed this study to focus on the impact on jobs across certain emerging technologies.
The document is an analytics salary study report presented by Analytics India Magazine and AnalytixLabs that examines salary trends in analytics roles in India. It provides an overview of emerging analytics job roles such as data scientist, data engineer, big data analyst, and data visualization analyst. These roles require skills in areas like machine learning, statistical analysis, data mining, programming, and working with big data platforms and tools. The report also studies salary trends across different cities, experience levels, skills, tools, and company types to help analytics professionals make informed career decisions.
India e retail (e-tailing) market, companies revenue analysis & forecast to 2015Renub Research
Renub Research (http://www.renub.com/report/india-e-retail-e-tailing-market-companies-revenue-analysis-forecast-to-2015-65) has announced the addition of the "India E-Retail (E-Tailing) Market, Companies Revenue Analysis & Forecast to 2015" report to its offering
Incorporating artificial intelligence into your business systems and processes is a journey unlike any other digital technology implementation. Here is a five-step process for navigating it successfully.
The document discusses business intelligence and analytics in India, including trends, challenges, and growth. It notes that while the industry in India is growing, it faces challenges like a lack of relevant data, shortage of skilled workers, fragmented market, and need for more domain-specific education. However, trends like a growing focus on industries like retail and banking, and increased use of mobile business intelligence, are supporting the growth of the industry. The industry is expected to reach revenues of $140 million in India by 2014.
The document summarizes key findings from a salary study of analytics professionals in India in 2016. Some of the main points are:
- The average salary was INR 9.5 lacs, with salaries highest in Mumbai at INR 11.4 lacs.
- Advanced analytics professionals earned the most at INR 12.1 lacs on average, while BI/reporting earned INR 7.1 lacs.
- Entry-level salaries were around INR 4.1 lacs on average but increased over 50% with experience.
The IT & ITeS sector in India is growing rapidly and is expected to reach $350 billion by 2025. India has become a global leader in IT & ITes exports, accounting for approximately 55% of the global sourcing market. The country has a large talent pool of technical graduates and is a preferred destination for outsourcing. The IT & ITeS industry contributes significantly to India's GDP and is one of the largest job creators in the country.
- A survey by Mercer found that Indian companies expect to increase base salaries by 10.5% in 2016, with the highest increases for life sciences, IT, and chemical industries at 10-11%.
- Approximately 48% of companies plan to hire more employees in 2016, led by the life sciences, IT, hi-tech, shared services, and chemical industries.
- Variable bonuses are expected to rise from 14.7% in 2014 to 15.4% in 2015, indicating better business performance compared to the previous year.
Everyone is talking about Artificial Intelligence — the new normal, which has entered almost every work process across industries. Enterprises are rethinking and strengthening their AI capabilities, using it as a tool to improve products and services. With AI becoming crucial to enterprise success, upskilling has become the new mantra among Indian IT professionals, who are keen to make an impact in their careers with Machine Learning and AI.
In our annual AI Study with Great Learning, we take a look at key AI trends dominating the Indian AI market-leading companies, professionals, salaries, jobs broken down by cities and how AI’s potential for industry growth has risen over the last few years. In the second half of the study, we cover AI literacy in India through Great Learning’s comprehensive AI/ML programs that are bridging the current skill gap and consequently boosting workforce transitions.
The document discusses the evolving role of business analysts and strategies for an online portal targeting business analyst job opportunities in India. It finds that the business analyst role now encompasses skills beyond documentation and IT, with analysts found in business units, IT departments, and change management. There is high demand for business analytics skills and salaries over $84,000 on average. An online portal is proposed to connect graduating students and professionals in India with business analyst job openings, as internet and job portal usage is growing rapidly in both urban and rural areas. The portal would focus on the largest markets of Karnataka, Maharashtra, and Tamil Nadu as most openings are located there.
India's Top Tier Freelancers - What They LearnFlexing It
Flexing It has released a new version of the report titled ‘India’s Top Tier Freelancers- What They Earn’ that analyses over 22,000+ credible fee benchmarks for insights on fee levels in the gig economy, participation of women and top skills in demand.
This document provides a summary of key findings from a survey of over 750 IT professionals in Australia regarding workforce trends and the job market. Some of the main findings include:
- Optimism about the IT job market continues to rise, with 41% feeling optimistic about opportunities compared to 34% one year ago.
- An attractive salary is becoming a more important factor for job seekers, with 24% stating it is the primary reason to apply for a role.
- Recruitment processes are getting faster, with 56% of hires made after one interview. Two-thirds of candidates lose interest if a process takes too long.
- Counteroffers are increasing but most don't work, with only 25
State of Customer Success in India (Aug 2018)Vipin Thomas
As Customer Success gains momentum in both tech and non-tech firms, this report compiles research on critical attributes of Customer Success in India. I believe this report will serve as a helpful resource for Customer Success professionals & Leadership in understanding:
- The Customer Success function, Maturity, Team Size, Compensation & Org structure
- Priorities, Challenges and Business Value
- Technology Stack for Enablement
- Key Performance Indicators (KPIs) to measure effectiveness
- The Future of Customer Success
1) Social professional networks are the top source for quality hires for staffing firms in Southeast Asia, as well as globally.
2) Brand is a high priority for staffing firms, and Southeast Asian firms prioritize building their brand more than global counterparts. However, more can still be done to measure brand health.
3) Passive candidate sourcing and social professional networks are expected to be long-lasting trends that will shape the future of staffing, according to Southeast Asian staffing leaders.
1. Social professional networks are the top source for quality hires according to staffing firms in Southeast Asia.
2. Availability of quality talent is the biggest obstacle to attracting top talent, more so than compensation. Competition from other firms is also a major challenge.
3. Social professional networks, job boards, and internal candidate databases provide both quality and quantity of hires, and are among the top sources for placements. However, more can be done to track return on investment from different sourcing activities.
Analytics and MBA is a great career choiceHimanshu Arora
The document discusses career opportunities in analytics. It begins by defining analytics as discovering meaningful patterns in data. It notes that analytics provides business opportunities by converting information to insights and spotting hidden trends. It provides examples of how analytics has been used in finance, marketing, operations, and HR. Key points made include that analytics skills are in high demand, salaries for analytics roles are high and increasing, especially for those with both analytics and domain knowledge, and common career paths involve progressing from analyst to manager roles. It promotes Dimensionless Technologies, an analytics training company, and provides details on their courses, trainers, and mission to provide affordable technical education.
The document discusses Opower's journey developing talent analytics capabilities. It began with basic reporting but struggled due to data issues. It then implemented a quadrant model to categorize roles and set recruiter goals and capacity. This helped improve performance metrics like time to fill. Forecasting also improved by factoring in more variables. Integrating HR and recruiting data provided insights like interviews needing more people to predict performance. The presentation emphasizes iterative improvement and using data to solve problems.
This document summarizes a study on recruitment analytics. It found that while 71% of recruiting professionals see analytics as important, only 15% have dedicated tools. Hiring managers see analytics as the highest priority but only 7% have access to relevant data. Medium-sized companies are best equipped for analytics. Respondents are dissatisfied with current tools and budgets for analytics are increasing. Top metrics include source of hire, time to hire, and applicants per hire. Career sites and job boards are the top sources currently but referrals and social media are rising. The conclusion recommends treating recruitment data as a vital asset and inspecting advanced analytics tools.
Business intelligence (BI) is an important tool for aiding expansion and growth, with the majority of teams using BI to create dashboards and reports that provide general company information and assist in analysis. However, many companies are facing increased workloads and challenges finding qualified BI professionals, with over half of managers stating a lack of quality candidates as their biggest recruitment issue. Microsoft continues to be the dominant vendor for BI tools and dashboards, while reporting and analysis remains the top priority, though predictive analysis and big data are growing areas of focus.
Business intelligence (BI) is an important tool for aiding expansion and growth, with the majority of teams using BI to create dashboards and reports that provide general company information and assist in analysis. However, many companies are facing increased workloads and challenges finding qualified BI professionals, with over half of managers stating a lack of quality candidates as their biggest recruitment issue. Microsoft continues to be the dominant vendor for BI tools and dashboards, while reporting and analysis remains the top priority, though predictive analysis and big data are growing areas of focus.
Jobs in demand 2018 and skills they requireRock Interview
The document summarizes job market trends and skills in demand in India. It finds that software developers are the most in-demand job, followed by sales professionals and customer service representatives. The top skills required are English comprehension, deductive reasoning, and inductive reasoning. Jobs are most readily available in Maharashtra, Delhi NCR, Karnataka, and Tamil Nadu, which together account for about 65% of openings. The number of freelance and contract workers is increasing and expected to continue rising. Internal referrals, job portals, and consultants are the preferred channels for employers to hire from.
The Burtch Works Study 2017: Salaries of Predictive Analytics ProfessionalsLinda Burtch
Working in Predictive Analytics and want to know your market value? Or are you a hiring manager who wants to keep your offers competitive? Burtch Works compiles salary data to create comprehensive salary reports, with complete demographics and hiring market insights. View an overview of our findings in this deck, and visit burtchworks.com/study to download the full report for free!
The importance of what to measure, how to measure, and translating those results are critical to every agency’s bottom line. Within this special edition of The SoDA Report, marketing and business leaders discuss creative opportunities for business performance measurement. They grapple with topics such as transparency, budget tracking, promoting and maintaining healthy levels of team and client satisfaction, benchmarking data, and much more. Authors from Stink Studios, August, Viget and 10,000ft share real-life examples of challenges, modifications, successes and tools to continue the conversation of agency metrics that matter.
For the full Report library, visit www.sodareporton.com.
Executive Employment Trends Report Q3 2017 - Q3 2018BPI group
The document summarizes an executive employment trends report from Q3 2017 to Q3 2018. Some key findings include:
- The average length of an executive job search was 4.9 months, lower than national averages.
- Networking accounted for 71% of how executives found new jobs.
- Higher paid, more educated, experienced, and older executives took longer to transition but times were lower than 5 years ago.
- 89% of executives pursued similar or better re-employment rather than retirement or entrepreneurship.
BPI group Executive Employment Trends Report Q3 2017 - Q3 2018BPI group
BPI group's Executive Employment Trends Report offers visibility into the executive job market. The findings of this report are based on landing data collected on our Executive Transition Services clients who completed their job search between Q3 2017 and Q3 2018.
1) The document discusses staffing trends in India that will influence recruitment firms in 2016 and beyond. Key trends include a focus on building relationships with clients, candidates, and colleagues.
2) Top priorities for recruitment firms in India include growing their client base, being strategic partners to clients, and improving sourcing techniques. There is also increased focus on improving quality of hire.
3) Relationships are seen as important to driving business development and growth. Competition is increasing from both other recruitment firms and in-house recruiting. Developing a strong brand is seen as important to differentiating from competitors.
The document provides an overview of job market trends in Asia based on a survey of over 4,500 professionals. Some key findings include:
- Job mobility decreased in 2014 across markets like China, Hong Kong, and Singapore, with fewer professionals changing jobs and more accepting counteroffers to stay put.
- Compensation increases were more modest overall in 2014 compared to previous years, though some markets like China still saw sizable increases, especially in consumer sectors.
- Sentiment about the 2015 economic and job market outlook was cautiously optimistic in China but more pessimistic in Hong Kong and Taiwan. Singapore stood out as being more confident.
- By sector, professionals in life sciences felt most positive while consumer/re
The 2020 State of Talent Optimization Report | The Predictive IndexThe Predictive Index
The Predictive Index surveyed 600 executives across 20 industries to find out what their top challenges and successes are around talent optimization. These stats will change the way you think about talent optimization and people management. View our key findings in this SlideShare!
Similar to Study: Analytics & Data Science Jobs in India - 2018 (20)
The agenda of the talk has been broken down into two parts: 1. Query Understanding [30mins]: [Sonu Sharma] • NLP based Deep Learning Models for finding the intent of a Query in a particular taxonomy/categories: Description and Jupyter-notebook demonstration [20mins]: o Multi-Label/Multi-Class Classification Model from scratch in Keras o Feature Engineering in Spark Scala and pandas o Keras Functional APIs details in TF 2.0 o ImageNet moment of NLP - Latest invention in Word embeddings – ELMO and BeRT o Understanding Deep Neural Networks like Bi-directional Long Short-term Memory (BiLSTM) and character embeddings for language modeling • NLP based Deep Learning Models for Query Tagging with entities like Brand, Color, Nutrition, product quantity, etc. using Named Entity Recognition: [10mins]: o Building custom model in Tensorflow Estimator API o Traditional Word Embeddings like Glove, Fasttext etc. o Query (Text) Preprocessing o Sequence modeling using Convolutional Random Fields (CRF) o Saving and Restore heavy model in TF using SavedModel concept 2. Related Searches [20mins]: [Atul Agarwal] • NLP based Deep Learning Model for predicting Next Search Keyword – Model Description and Jupyter Notebook demonstration[20mins]: o Building Sequence to Sequence (Seq2Seq) model using Long Short Term Memory (LSTM) concept of Deep Neural Network in Keras o comparing different word Embeddings e.g. word2vec, fasttext, glove, etc. in popular AI framework such as gensim. o Keras Sequential APIs details in Keras o Similarity Search based on Facebook AI Research aka FAISS.
This document discusses using a single channel EEG device to recognize emotions from EEG data. It collected data from 10 individuals labeled as stressed or relaxed. It preprocessed the raw EEG data using filters to isolate brain signals. It then used deep learning models including an LSTM network with and without attention to classify emotions. The LSTM with attention achieved 85% accuracy, which was an improvement over the LSTM without attention. Potential applications discussed include using EEG for stress reduction by customizing music, and emotion or word prediction. The document also discusses opportunities for future enhancements such as using convolutional layers or multi-modal networks incorporating additional physiological sensors.
Flood & Other Disaster forecasting using Predictive Modelling and Artificial ...Analytics India Magazine
Over 2.3 Billion people are affected due to floods in last 20 years and causing countless death , More than 92,million cattle are lost every year, seven million hectares of land is affected, and damage is over trillions dollars when taken globally in last 5 years. Floods are complicated natural events. It depends on several parameters, so it is very difficult to model analytically. The floods in a catchment depends on the characteristics of the catchment, rainfall and antecedent conditions. So the estimation of the flood peak is a very complex problem. Its due to the lack of Flood Prediction System which can predict the situation accurately. To Overcome this challenge we are building a Flood Prediction System using Predictive modelling. However we have divided our idea into small fragments but enough to be used globally. We have considered most flooded state of India, but can be used widely for all the low lying geographical regions. •The plains of Bihar, adjoining Nepal, are drained by a number of rivers that have their catchments in the steep and geologically nascent Himalayas. Kosi, Gandak,Burhi Gandak, Bagmati, Kamla Balan, Mahananda and Adhwara Group of rivers originates in Nepal, carry high discharge and very high sediment load and drops it down in the plains of Bihar. · About 65% of catchments area of these rivers falls in Nepal/Tibet and only 35% of catchments area lies in Bihar. · Bihar is India’s most flood-prone State, with 76 percent of the population, in the north Bihar living under the recurring threat of flood devastation. About 68800 sq Km out of total geographical area of 94163 sq Km comprising 73.06 percent is flood affected. · According to some historical data, 16.5% of the total flood affected area in India is located in Bihar while 22.1% of the flood affected population in India lives in Bihar. · From 1979 to Present day more than 8,873 Humans & 27,573 animals have lost their life due to flood. Some of Tools & Technology which is being used & can be used for Flood Prediction: •IBM. Watson Studio democratizes machine learning and deep learning to accelerate infusion of AI in to drive innovation. •An Intelligent Hydro-informatics Integration Platform for Regional Flood Inundation Warning Systems. •Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm. · Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation
AI for Enterprises-The Value Paradigm By Venkat Subramanian VP Marketing at B...Analytics India Magazine
AI is here, call it buzz, cause it a bubble, we are smack in the middle of an AI revolution. While there is a strong view building about consumer AI applications, there still seems to be some scepticism about AI for enterprises, primarily due to the lack of clarity and focus on how AI can actually deliver value for enterprises. At BRIDGEi2i, we believe it is important to have a non-fragmented view of the AI ecosystem and a “Value Roadmap” for AI in the enterprise context. As CxOs, it is important to understand where the enterprise is in the transformation journey and define value accordingly. This talk will throw light on how to look at the enterprise AI ecosystem and build the right roadmap for value.
Keep it simple and it works - Simplicity and sticking to fundamentals in the ...Analytics India Magazine
With the buzz around AI and ML there is an increasing tendency for leaders and data scientists to move towards complex problem-solving. Its important to unlearn the tendency to gravitate towards complexity. In this talk we will see why avoiding complexity in ML solutions is a wiser and a quicker way to solve business problems. We can also visit some thumb rules to build pragmatic and useful models. Simplicity and sticking to fundamentals is the next "big" thing in the world of big data.
Feature Based Opinion Mining By Gourab Nath Core Faculty – Data Science at Pr...Analytics India Magazine
Suppose that a customer who has given a high rating about a mobile phone writes the following review about the product: The front camera of the phone is excellent! Truly speaking, this is the best front camera I have experienced so far. From this review, we can understand two things. First, the customer holds a positive opinion about the phone. Secondly, the front camera of the phone is the targeted feature on which the opinions have been expressed in the review. In this workshop, we will be particularly interested in discovering patterns as indicated in the second case. We will discuss a framework that enables us to first discover the targets on which the opinions have been expressed in a review and then determine the polarity of the opinions. This kind of detailed analysis helps us to discover the components or features of the products which the customers have liked or disliked and thus help us to better summarize the information.
Deciphering AI - Unlocking the Black Box of AIML with State-of-the-Art Techno...Analytics India Magazine
Most organizations understand the predictive power and the potential gains from AIML, but AI and ML are still now a black box technology for them. While deep learning and neural networks can provide excellent inputs to businesses, leaders are challenged to use them because of the complete blind faith required to ‘trust’ AI. In this talk we will use the latest technological developments from researchers, the US defense department, and the industry to unbox the black box and provide businesses a clear understanding of the policy levers that they can pull, why, and by how much, to make effective decisions?
Getting your first job in Data Science By Imaad Mohamed Khan Founder-in-Resid...Analytics India Magazine
Getting your first job in Data Science is difficult. You’ve been applying to jobs, but they keep rejecting you. You don’t know what to do and how you could differentiate yourselves amidst the pool of candidates? In this talk, we’ll be going through different tips and techniques you could use to find that elusive Data Science jobs. They’ve worked for me and probably will work for you too!
With enterprises putting digital at the core of their transformation, our annual Data Science & AI Trends Report explores the key strategic shifts enterprises will make to stay intelligent and agile going into 2019. The year was marked by a series of technological advances, including advances in AI, deep learning, machine learning, hybrid cloud architecture, edge computing (with data moving away to edge data centres), robotic process automation, a spurt of virtual assistants, advancements in autonomous tech and IoT.
The samples were collected by asking respondents to fill in a survey created by AIM about what tools and techniques data scientists use at work. This included various sub-topics such as data visualisation tools, preferred operating systems and programming languages, among others. We took opinions from all those who practice data science — from professionals with less than two years of experience to CXOs — to get a thorough idea of the working environment in this growing field.
Our survey was met with much enthusiasm — and we got some great insights from it. Some of them were expected, and many of them were real eye-openers.
Emerging engineering issues for building large scale AI systems By Srinivas P...Analytics India Magazine
The document discusses an online 6-month certificate program in artificial intelligence and deep learning from Manipal Prolearn. It provides awarding from MAHE, hands-on training using real-world data from different domains, and instruction from industry experts. The program teaches skills for developing end-to-end AI/ML systems and covers topics like data acquisition, modeling, evaluation, and deployment.
Predicting outcome of legal case using machine learning algorithms By Ankita ...Analytics India Magazine
This document summarizes a presentation on predicting the outcomes of legal cases using machine learning models. It discusses extracting data from judgment documents and identifying key features for analysis. Exploratory data analysis was conducted on 202 observations to understand patterns. Logistic regression, KNN, random forest, and support vector machine models were developed. The tuned support vector machine model achieved the highest accuracy of 95% based on 10-fold cross-validation. Overall, support vector machine provided the best performance. The models tended to predict non-guilty outcomes more frequently due to the skewed data. Future work involves developing a mobile application for these predictive capabilities.
Bringing AI into the Enterprise - A Practitioner's view By Piyush Chowhan CIO...Analytics India Magazine
Artificial Intelligence is slowly getting its way into organisations. AI journey can be quite complex and a proper roadmap would be needed to realize the benefits. This presentation will talk about common myth and a high level approach for bringing AI into the enterprise.
www.analyticsindiasummit.com
Explainable deep learning with applications in Healthcare By Sunil Kumar Vupp...Analytics India Magazine
We started relying on the decisions made by deep learning models, however why it works and how it works are still big questions for most of us. We shall try to open that black box of deep learning which is essential to build trust for wide spread adoption. The speaker shall address the importance of feature visualization and localization in deep learning models esp. convolutional neural networks. He shares the results of applying methods such as activation map, deconvolution and Grad-CAM in healthcare.
Getting started with text mining By Mathangi Sri Head of Data Science at Phon...Analytics India Magazine
The workshop will empower you and get started with analyzing text data, discover patterns and what are the best ways to convert unstructured to structured data. We will also build a quick classification model and understand techniques to improve model performance. Towards the end lets quickly do a sentiment analysis on data corpus and discuss the next steps to improve model accuracy. Please come prepared with a working laptop with Jupyter Notebook and Python 2.7. Participants who have a minimum working knowledge of supervised models is encouraged.
“Who Moved My Cheese?” – Sniff the changes and stay relevant as an analytics ...Analytics India Magazine
The “Sexiest job of the 21st century” is often surveyed to be poorly defined, intermittently satisfying and vaguely understood in most board rooms. As success stories are widely publicized, senior business leaders’ expectations from analytics are rising quickly. And the field itself is changing rapidly - with speciality skills becoming self-service in no time. In that context, the talk explores how the various analytics roles across the spectrum are changing. And what it takes for analytics professionals to stay relevant, contribute meaningfully to business results and play a critical role in shaping business strategy.
www.analyticsindiasummit.com
"Route risks using driving data on road segments" By Jayanta Kumar Pal Staff ...Analytics India Magazine
Going out for dinner in Mumbai during an extended stay, or planning for a long road-trip across the wild west of Rajasthan, the first thing one looks at is Maps, that informs the relative distance, estimated time and congestion areas of different routes for the drive. Zendrive built state-of-the-art technologies on its huge cache of driving data from smartphones and OBD, to add a significant dimension to the route mapping of Google, that is safety risk of the route. Essentially the technology is built on millions of drivers zipping through the route or segments thereof. Automobile Insurance expands in UBI- where it has been established that tracking a driver’s behavior behind the wheels (like Hard Brake, Speeding etc) can predict significant differences between their chances of collisions. Looking at the same event data from the road perspective, aggregating the relative event density on road stretches also predict the relative chances of collision on that segment. We have used map matching using GIS techniques, parametric density estimation and rare event modeling using quasi-Poisson GLM to analyze our data, build the models and finally implement the scoring system across the GIS route maps. Key learnings : Relation between dangerous driving events and collisions Route risk as an aggregate of all the drivers (or sample thereof) and their driving risk. The route you take for commute may determine your auto insurance. Outline : Usage Based Insurance : relation between collision rates and dangerous driving. Driving events : aggressive acceleration, hard brake, speeding, phone use, aggressive turns Poisson GLM modeling to predict collision rates using driving data Events on a road segment : map-matching using GIS techniques to split trips along road stretches, and aggregate such events along the spatio-temporal dimension across all drivers. Route risk of the road segment and any route comprising such segments. Driving risk along such routes and corresponding collision risks using transfer of the GLM model. Assignment of risks to drivers on their daily route of commute, to be used in UBI.
www.analyticsindiasummit.com
“Who Moved My Cheese?” – Sniff the changes and stay relevant as an analytics ...Analytics India Magazine
By Phani Mitra VP Analytics & Strategy at Dr. Reddy’s
The “Sexiest job of the 21st century” is often surveyed to be poorly defined, intermittently satisfying and vaguely understood in most board rooms. As success stories are widely publicized, senior business leaders’ expectations from analytics are rising quickly. And the field itself is changing rapidly - with speciality skills becoming self-service in no time. In that context, the talk explores how the various analytics roles across the spectrum are changing. And what it takes for analytics professionals to stay relevant, contribute meaningfully to business results and play a critical role in shaping business strategy.
www.analyticsindiasummit.com
The analytics education market in India is exploding with analytics institutes providing a slew of instructional courses that are in line with the industry demand. This study aims to provide an overview of the analytics education landscape in India, the type of learning models offered and how online learning has become an inherent part of the analytics ecosystem in India.
Making Data Science Great Again – Applications of Deep learning Using Tensorflow
The 2nd revolution in machine learning came in the form of powerful algorithms such as random forest, boosting machines and ensemble methods.
But the problems being solved were still the same prediction ones. With advent of deep learning we have entered into the 3rd revolution enabling us to solve problems such as automating support functions through chatbots, powerful NLP and image recognition which open doors to an entire range of possibilities like self-driving cars for instance. In this talk we’ll explore these possibilities with deep learning and tensorflow.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
2. 2 3Analytics Jobs
Study 2018
By AIM &
Edvancer
04
INTRODUCTION
06
TOP TRENDS IN
ANALYTICS JOBS
08
ANALYTICS JOBS
BY CITIES
10
ANALYTICS JOBS
BY INDUSTRY
12
EDUCATION
REQUIREMENT BY
ANALYTICS JOBS
14
EXPERIENCE
REQUIREMENT BY
ANALYTICS JOBS
16
ANALYTICS JOBS
IN CITIES BY
EXPERIENCE
LEVEL
20
ANALYTICS JOBS
ACROSS TOOLS
22
ANALYTICS JOBS
BY SALARIES
24
ANALYTICS JOBS
BY COMPANY
TYPE
26
CONCLUSION
CONTENTS
3. Analytics Jobs
Study 2018
By AIM &
Edvancer
INTRODUCTION
A
nalytics jobs scenario
in India is constantly
evolving. Companies are
looking to hire professionals
who are well-versed with new
tech concepts such as analytics,
big data, data science, artificial
intelligence and machine
learning, among others. While
there may be a huge variation in
the skills sets, experience and
education requirement for these
professionals across various
cities and industries, there is a
constantriseintheoveralldemand
for analytics professionals with
new jobs being posted each day.
This year’s Analytics And Data
Science Jobs Study is brought to
you in association with Edvancer,
one of India’s leading data
science skills training institute
which offers a wide range of data
science training programs for
individuals and corporates.
The study takes into
consideration various aspects
of the job scenario for analytics
professionals in India across
industries such as retail, telecom
and e-commerce, among others.
The study also takes a look at
various hiring trends over the
years, jobs profiles, company
types, experience required,
educational background, etc.
The study was conducted over
a period of five months, which
includes extensive primary and
secondary research. It is an
accumulation of results collected
by studying various job portals,
getting in touch with the human
resources departments of
different companies, analytics
professionals and other relevant
persons in the industry.
Disclaimer: This document is
the result of continued research
by Analytics India Magazine
and Edvancer. Permission
may be required from either or
at least one of the parties for
reproduction of the information
on this report. All rights reserved
with the aforementioned parties.
4 5
4. 7By AIM &
Edvancer
TOP TRENDS IN
ANALYTICS JOBS
• The number of new analytics jobs
advertised per month increased
by almost 76% from April 2017 to
April 2018.
• The number of new analytics jobs
increased by 52% from April 2015
to April 2016, and by 40% from
April 2014 to April 2015. It had
almost doubled from April 2016 to
April 2017.
• We saw a brief dip in the job
requirements from August to
September 2017. Post that, the
number of analytics jobs advertised
have been on a constant rise.
• While, it is difficult to ascertain the
exact number of open analytics
job openings; according to our
estimates, close to 78,000 positions
related to analytics are currently
available to be filled in India. Open
analytics jobs is a different metric
than new jobs advertised per
month.
• This is almost 57% jump in the
open job requirements, compared
to the same time a year back.
• Compared to worldwide estimates,
India contributes 10% of open
job openings currently. Growth in
the number of data science jobs
globally was much higher than
India.
• Last year India contributed 12% of
worldwide open job requirements
which has decreased to 10% this
year.
• 10 leading organizations with
the most number of analytics
openings this year are – JPMorgan,
Accenture, Microsoft, Adobe,
Flipkart, AIG, Ernst & Young, Wipro,
Vodafone & Deloitte.
• Almost 98% of analytics jobs
advertised in India are of full-time
basis. Just 2% form the part-time,
internship or contractual jobs.
• Top designations advertised are:
Analytics Manager, Business
Analyst, Research Analyst, Data
Analyst, SAS Analyst, Analytics
Consultant & Statistical Analyst,
Data Scientist.
The number of analytics
jobs advertised from
April 2017 to April 2018
increased by
76%
Jun‘14 Oct‘14 Feb‘15 Jun‘15 Oct‘15 Feb‘16 Jun’16 Oct‘16 Feb‘17 Jun‘17 Oct‘17 Feb‘18
6 Analytics Jobs
Study 2018
GRAPH: NEW ANALYTICS JOBS ADVERTISED PER MONTH
0
10
20
30
40
50
60
70
80
90
100
Feb‘14
No.OfNewAnalyticsJobsOpeningsEach
MonthOverTheYears
(inThousands)
5. 9Analytics Jobs
Study 2018
By AIM &
Edvancer
ANALYTICS JOBS
BY CITIES
• In terms of cities, Bengaluru
accounts for around 27% of
analytics jobs in India. This is an
increase from 25% a year ago.
• Delhi/ NCR comes second
contributing 21% analytics jobs
in India, down slightly from 22% a
year ago.
• Approximately 12% of analytics
jobs are from Mumbai. This is
significantly down from 17%, last
year.
• The contribution of Tier-B cities
in analytics jobs continues to
increase this year, from 5% in 2016
to 7% in 2017 to 14% this year due
to the increased number of start-
ups operating in Tier 2 cities.
Bengaluru accounts for
the highest number of
analytics jobs at
27%
Bengaluru Delhi/
NCR
Mumbai Hyderabad Pune Chennai Ahmedabad Kolkata Others
0%
5%
10%
15%
20%
25%
30%
PercentageOfAnalyticsJobs
2018 2017 2016
GRAPH: PERCENTAGE OF ANALYTICS JOBS ACROSS CITIES
8
6. 10 Analytics Jobs
Study 2018
By AIM &
Edvancer
Travel & Hospitality
Retail & CPG
Automobile
Telecom
Media & Entertainment
Ecommerce
Pharma & Healthcare
Energy & Utilities
Banking &
Financial Services
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50%
Percentage Of Analytics Jobs
2018 2017 2016
ANALYTICS JOBS
BY INDUSTRY
• Banking & financial sector
continues to be the biggest
influencer in analytics job market.
41% of all jobs posted for analytics
were from the banking sector. This
is a decrease from 46% a year ago.
• E-commerce continues to dip in
terms of analytics jobs this year.
Just 8% of analytics jobs were in
ecommerce sector as opposed to
10% in 2017 and 14% in 2016.
• Energy & utilities sector seems to
have the highest uptick in analytics
jobs this year, contributing to 15%
of all analytics jobs as opposed to
11% a year ago. The sector has
been traditionally a late adopter of
analytics.
41%Of all jobs posted for
analytics were from the
banking sector.
11
GRAPH: PERCENTAGE OF ANALYTICS JOBS
ACROSS INDUSTRIES
7. 13By AIM &
Edvancer
EDUCATION
REQUIREMENT BY
ANALYTICS JOBS
• Almost 48% of analytics job
openings are looking for a B.E./
B.Tech graduate degree in the
incumbent.
• 18% analytics job openings are
looking for a postgraduate degree
which are not MBA or M.Tech. This
is a decrease from 26% a year ago.
• 8% analytics jobs specifically
require an MBA/PGDM degree.
• Just 13% recruiters are looking
specifically for graduates with non-
BE/ non-B. Tech degrees, up from
10% last year.
Any
Graduate
Degree
Any
Postgraduate
Degree
B.Tech/ B.E M.Tech MBA/
PGDM
Others
0%
10%
20%
30%
40%
50%
PercentageOfAnalyticsJobs
2018 2017 2016
48%of job openings are
looking for a B.E/B.Tech
graduate
12 Analytics Jobs
Study 2018
GRAPH: PERCENTAGE OF ANALYTICS JOBS BY EDUCATION
8. 15By AIM &
Edvancer
EXPERIENCE
REQUIREMENT BY
ANALYTICS JOBS
• Around 62% of analytics requirements
are looking for candidates with less
than 5 years of experience.
• 17% analytics jobs are for freshers.
• 38% analytics job openings are for
professionals with more than 5 years
of job experience.
17%Analytics jobs are for
freshers
Less than
1 year
1-2 years 2-5 years 5-7 years 7-10 years 10-15 years More than
15 years
0%
5%
10%
15%
20%
25%
30%
PercentageOfAnalyticsJobs
2018 2017 2016
14
GRAPH: PERCENTAGE OF ANALYTICS JOBS BY EXPERIENCE
9. 17By AIM &
Edvancer
ANALYTICS JOBS
IN CITIES BY
EXPERIENCE LEVEL
• 2-5yearsofexperiencecontinuesto
be the most demanded experience
level across all cities, averaging at
24% of job openings.
• The second most in-demand
experience level varies significantly
with cities. Bengaluru, Hyderabad
& Chennai prefer 5-7 years of
experience level over 1-2 yrs.
• Mumbai, Pune & Delhi(NCR)
demand for more 1-2 years of
experience in analytics over 5-7
years.
• Hyderabad & Chennai have
the highest demand for senior
analytics professionals. 13% of
their advertised jobs are for 10+
years experience.
• Pune is most acceptable for
analytics freshers. Almost 23% of
their advertised job openings are
for less than 1-year experience.
Puneis most acceptable
for analytics freshers
16 Analytics Jobs
Study 2018
10. 0% 5% 10% 15% 20% 25% 30%
More than 15 years
10-15 years
7-10 years
5-7 years
2-5 years
1-2 years
Less than 1 year
BENGALURU
HYDERABAD
0% 5% 10% 15% 20% 25% 30%
More than 15 years
10-15 years
7-10 years
5-7 years
2-5 years
1-2 years
Less than 1 year
MUMBAI
0% 5% 10% 15% 20% 25% 30%
More than 15 years
10-15 years
7-10 years
5-7 years
2-5 years
1-2 years
Less than 1 year
0% 5% 10% 15% 20% 25% 30%
More than 15 years
10-15 years
7-10 years
5-7 years
2-5 years
1-2 years
Less than 1 year
PUNE
0% 5% 10% 15% 20% 25%
More than 15 years
10-15 years
7-10 years
5-7 years
2-5 years
1-2 years
Less than 1 year
CHENNAI
0% 5% 10% 15% 20% 25% 30%
More than 15 years
10-15 years
7-10 years
5-7 years
2-5 years
1-2 years
Less than 1 year
DELHI/NCR
Analytics Jobs
Study 2018
18 19By AIM &
Edvancer
GRAPHS: PERCENTAGE OF ANALYTICS JOBS IN
CITIES BY EXPERINCE LEVEL
x-axis: Percentage of Analytics Jobs
y-axis: Experience in Years
11. 21By AIM &
Edvancer
Analytics Jobs
Study 2018
ANALYTICS JOBS
ACROSS TOOLS
• Recruiters are increasingly moving
away from technology and tools-
based recruiting to skills-based
recruitment. More broadly, there
has been significant decrease in
the jobs advertised for a specific
tool.
• Analytics recruiters are becoming
aware that unlike IT, analytics
requires a combination of skills,
and tools are just one aspect of it.
• The demand for Python
professionals is the highest among
all analytics recruiters. Almost 39%
of all advertised analytics jobs in
India demand for Python as a core
skill.
• Python also saw the biggest jump
in analytics requirements this year,
replacing R as the most in-demand
analytics tool.
• R skills comes second, at 25%
of all analytics jobs looking for R
professionals. This is decrease
from last year of 36%.
• Among visualization tools, Tableau
skills are most in-demand.
Python R Hadoop SAS Spark Tableau SPSS Qlikview
0%
5%
10%
15%
20%
25%
30%
PercentageOfAnalyticsJobs
35%
40%
45%
2018 2017
39%Analytics jobs in India
demand for Python
as a core skill.
GRAPH: PERCENTAGE OF ANALYTICS JOBS ACROSS TOOLS
20
12. 22 Analytics Jobs
Study 2018
By AIM &
Edvancer
ANALYTICS JOBS
BY SALARIES
• The median salaries being offered
by advertised analytics jobs in
India is INR 10.8 Lakh per annum.
• Advertised salaries tend to be
lower than actual salaries. We have
earlier reported the median salaries
of analytics professionals in India
to be INR 12.7 Lakh.
• 27% of all analytics jobs offer a
salary range of 6-10 Lakh, followed
by 23% for 3-6 Lakh.
• Almost 38% of all advertised
analytics jobs in India are offering a
salary of more than 10 Lakh.
38%0f all analytics jobs
in India are offer a salary
of more than 10 Lakh
0-3
Lakhs
3-6
Lakhs
6-10
Lakhs
10-15
Lakhs
15-25
Lakhs
25-50
Lakhs
50-75
Lakhs
75 Lakhs
-1 Cr
1 Cr+
30%
20%
15%
10%
25%
5%
0%
2018 2017
23
GRAPH: PERCENTAGE OF ANALYTICS JOBS BY SALARIES
13. 25Analytics Jobs
Study 2018
By AIM &
Edvancer
ANALYTICS JOBS
ACROSS COMPANY
TYPE
• Almost 41% of all analytics demand
is with Captive centers/ GIC’s in
India. These are organizations that
mostly utilize analytics for internal
consumption (for primarily their
global businesses).
• This is down from 56% a year back.
• Service providers (both domestic
& MNC’s) saw an uptick in the
analytics jobs requirements this
year.
• Almost 24% of all analytics jobs
advertised are by MNC IT & KPO
service providers, up from 18% a
year ago.
• 21% of all analytics jobs advertised
are by Domestic IT & KPO service
providers, up from 15% a year ago.
• 9% of analytics jobs advertised are
by Indian companies that require
analytics for internal consumption.
This is a very healthy number
signifying growing adoption of
analytics and data science with
Indian organizations.
41%Analytics jobs demand
is with Captive centers/
GIC’s
2018 2017
Captive
Centres
MNC IT & KPO
Service Providers
Domestic IT &
KPO Service
Providers
Indian
Consumer
Firms
Consulting
Firms
50%
30%
20%
60%
10%
40%
GRAPH: PERCENTAGE OF ANALYTICS JOBS ACROSS
COMPANY TYPE
24
14. 27Analytics Jobs
Study 2018
By AIM &
Edvancer
CONCLUSION
H
ere’s what we believe
– academic credentials
are important but not
necessary for kick-starting
careers in data science.
Gradually, there will be a need
for more self-trained, data-
passionate people who will
come to play a significant
role in many organizations’
data science initiatives. The
talent gap will be stemmed by
professionalswhoaremotivated
to bootstrap their skills on
the open-source ecosystem
and use tools and techniques
widely available. Just as data-
science platforms and tools
are proliferating, the data-
scientist’s pool will also grow
with self-taught professionals.
With a wide collection of open
source resources and MOOCs
that are brewing a learning
revolution, professionals keen
on starting a data science
career will be able to build a
core set of competencies. Also,
jobs should feature mentors, as
training and investing in growth
is essential to improve and build
specialties among the team.
26
15. 28 29Analytics Jobs
Study 2018
By AIM &
Edvancer
RESEARCH
METHODOLOGY
T
his study is a result of
extensive primary and
secondary research
which has been carried out
over a period of six months
by Analytics India Magazine,
in association with Edvancer.
It includes consultation with
numerous analytics experts, HR
professionals, job portals, and
companies who have furnished
their valuable expertise for the
study.
The research methodology
included a systematic plan to
identify the various factors
influencing job scenario around
analytics and data science in
India. The data was collected
by following all the leading job
portals in India, interacting with
100+ companies and 1000+
professionals across all major
cities in India. The various
industriesforthisstudyincluded
retail,FMCG,healthcare,energy
& utilities, hospitality, finance,
banking, telecom, media etc.
The samples were collected by
quizzing the participants on the
trends around analytics and
data science jobs, the salary
structure from fresher’s level
to the managerial level, cities
that offer best opportunities for
these jobs, tools and skills that
company’s demand, analytics
jobs across company type and
much more.
After a careful collection of
information and data, they were
classified, counted and
distributed to reach the
conclusions as depicted in the
study.
16. 30 31Analytics Jobs
Study 2018
By AIM &
Edvancer
ABOUT
ANALYTICS INDIA MAGAZINE
Founded in 2012, Analytics India
Magazine has since been
dedicated to passionately
championing and promoting the
analytics ecosystem in India.
It chronicles the technological
progress in the space of analytics,
artificial intelligence, data
science, big data by highlighting
the innovations, players in the
field, challenges shaping the
future, through the promotion
and discussion of ideas and
thoughts by smart, ardent, ,
action-oriented individuals who
want to change the world.
Analytics India Magazine has
been a pre-eminent source of
news, information and analysis
for the Indian analytics analytics
ecosystem by covering opinions,
analysis and insights on the key
breakthroughsanddevelopments
in data-driven technologies as
well as highlighting how they are
being leverages for future impact.
With a dedicated editorial
staff and a network of more
than 250 expert contributors,
AIM’s stories are targeted at
futurists, AI researchers, Data
science entrepreneurs, analytics
aficionados and technophiles.
ABOUT
EDVANCER EDUVENTURE
Edvancer is India’s leading data
science skills training institute. An
IIM-IIT alumni venture, it was setup
with a mission to make India’s youth
employable in the services sector
by providing them job specific
skill-sets through industry oriented
education & training.
Their industry recognized courses
in data science have been taken
by over 5000 professionals and
students who have gone on to
build competencies in data science
and work in this fast-growing
field. Edvancer also delivers data
science training programs to over
50+ corporate partners including
leading companies like PwC, EY,
Deloitte, GE, Genpact, HDFC Bank,
Colgate Palmolive, L&T Technology
Services, Cognizant, TCS etc. Till
date Edvancer has delivered over
500,000 hours of learning.
Edvancer’s programs in data
science, machine learning,
predictive analytics & big data are
focused on:
• Hands-on practical learning:
Through its programs it gets
trainees to work on multiple real
world case studies and projects
helping them create a job-ready
profile.
• Industry oriented learning
through industry experts: All
of Edvancer’s faculty are data
scientists with years of work
experience in various leading
companies. This ensures that
their students get updated,
industry relevant learning which
helps them crack interviews.
• Generating a high ROI for
learners: They provide short-
term modular courses which
are specific to the needs of the
trainee’s immediate career goals
keeping the time and monetary
investment limited and ensuring
that a high ROI is generated.
• Anytime, Anywhere learning:
Learning at Edvancer is not
restricted to any particular time
slots or location. They provide
anytime, anywhere learning
through their online programs
which means a person can start
learning the moment they feel
the need for it. Also they provide
lifetime access to their courses
so that a student can always
come back for revisiting any
concepts.
Edvancer’s alumni are placed
in Cognizant, TCS, Accenture,
Genpact,Amazon,FractalAnalytics,
Capgemini, HP, IBM, PwC, EY,
Deloitte, HDFC Bank, Kotak Bank,
ICICI Bank, TATA Group, Walmart,
Citigroup, Amex, Infosys, Wipro,
Microsoft, L&T, Hansa Cequity,
Mindtree, Subex etc.
17. 32 Analytics Jobs
Study 2018
contact us
ANALYTICS INDIA MAGAZINE
#189, 1ST FLOOR,
17TH MAIN, SECTOR 3,
NEAR HSR CLUB, HSR LAYOUT,
BENGALURU- 560102, KARNATAKA
INFO@ANALYTICSINDIAMAG.COM
EDVANCER
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NEAR GHATKOPAR STATION,
GHATKOPAR(E),
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