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Business Intelligence Analyst Skills Framework
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A framework describing the skills required to be an effective business intelligence analyst
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Business Intelligence Analyst Skills Framework
1.
Business Intelligence Analyst
Skills Framework By: Ali Khan – Data & Analytics Director Date : Feb 2022 Data & Analytics
2.
Welcome Haere Mai
| Respect Manaaki | Together Tūhono | Aim High Angamua CONTENTS Strategy Context How we work Storytelling Actionable Insights Skills Framework Measurement 2 © Ali Khan on behalf of ADHB 2022
3.
Welcome Haere Mai
| Respect Manaaki | Together Tūhono | Aim High Angamua Our data strategy hinges on delivering to the 4 key pillars below through fit for purpose capabilities and accelerated delivery via people, process and technology changes 3 • Search for data and reports existing across ALL ADHB systems • Understand what the data means and how it is used • Interact with regular users of this data to improve understanding • Understand the quality of the data and its suitability for usage Data Discovery • Use modern tools like PowerBI or their preferred tool to build insights • Data is available in a language easily understood by the business and already linked for simple usage • Data remains safe and secure at all times and availability controlled by access rights and data classification Self-Service Automation Innovation • All manual processes engineered out through automation where possible • Creation of data products and reusable data assets to accelerate delivery • Automated workflows to accelerate processes • Automated data provisioning capabilities within all data layers • Enabling citizen data analysts, geeks, scientists and engineers to use data in innovative ways to create value • Intelligence teams co-designing and delivering side by side with business teams • Testing production insights as you go and changing on the fly Discover data “within” and “outside” our data platforms “Experiment and create new value” at low to zero cost Reduce the friction and cost of delivering data (new and existing) Enable our “untapped workforce of thousands” to build sharable, repeatable insights Strategy Context: we have moved to a “DataOps” delivery model to accelerate democratisation of analytics © Ali Khan on behalf of ADHB 2022
4.
Welcome Haere Mai
| Respect Manaaki | Together Tūhono | Aim High Angamua 4 Putting actionable information into the hands of our practitioners is the “No 1” goal for our team How we work: Our analysts require a range of business and technical skills to be effective in their role Traditional Business Intelligence Information Consumers Occasional Analysts Business Intelligence Analysts Traditional Users Management / Performance Reporting Strategic / Compliance Reporting Operational Data Science Ad-hoc Data Analysis, Experimentation, Research Operational Reporting Operational Analysis Modern Analytics Paradigm Citizen Data Analysts Citizen Data Engineers Citizen Data Scientists Geeks / Unicorns Information Explorers Business Data Stewards SQL Playpen Libraries of certified datasets Excel powered exploration Silver/Bronze self-published PowerBI Reports Innovating with new data Prebuilt Reports & Dashboards PDF Reports / Dashboards Modern Users The Analytics Spectrum © Ali Khan on behalf of ADHB 2022
5.
Welcome Haere Mai
| Respect Manaaki | Together Tūhono | Aim High Angamua 5 Dashboards to deliver insights Citizen “Information Explorers “ actionioning decisions through data Libraries of secure self-serve certified PBI Datasets to enable exploration Storytelling: To increase the relevance and longevity of insights delivered, our analysts have adopted a data story telling approach for all insights delivery This translates into integrated insight action outcome, supported by the data and allows our users to explore their data through familiar tools © Ali Khan on behalf of ADHB 2022
6.
Welcome Haere Mai
| Respect Manaaki | Together Tūhono | Aim High Angamua This approach typically results in insights that have meaning and initiate action Actionable Insights: Our analysts work interactively and iteratively with our customers as we establish the narrative 6 Identify, organise and design the most important stories in the data. Hold workshops with the business to complete the story framework. Bring the relevant data fields into an Excel dataset. Ask questions, answer via pivots, find what matters. Share your data discovery with the user via pivot tables, charts. Validate your findings. Get feedback from the users, make changes, discover more, iterate. Starting with a storyboard where it makes sense Bringing together the data through discovery & consolidation Iterative playback with the business 02 03 01 Deliver the data story. Create powerful visualisations to inspire action. Choose the right design elements - charts, graphs, colour, white space, narrative. Build the foundational datasets the business can use to help themselves. Incrementally delivery insights and the ability to explore 04 © Ali Khan on behalf of ADHB 2022
7.
Welcome Haere Mai
| Respect Manaaki | Together Tūhono | Aim High Angamua D. Story Telling & Visualisation C. Data Analysis & Modelling B. Data Manipulation A. Requirements & Business Analysis F. Relationship Management G. Leadership & Performance E. Results Orientation Business Intelligence Analyst Skills Framework Our “Business Intelligence Skills Framework” articulates the delivery and people skills needed to be successful Skills Framework: What skills do our analysts require in order to be successful ? 6 Competency Description Delivery Skills A. Requirements & Business Analysis Understand and model business requirements, understand their problems, model requirements to define problem statements. B. Data Manipulation Bring complex data together from multiple data sources into optimised coherent datasets for use in exploration. C. Data Analysis & Modelling Model data using ER Modelling, analyse data to build useful insights and ensure datasets are suitable D. Storytelling & Visualisation Use story telling techniques to create an integrated view of insights needed to solve the business problems. Develop visualisations to tell the story. People Skills E. Results Orientation Able to apply analytical thinking and problem solving skills. Focused on achievement able to plan and execute F. Relationship Management Using a variety of communication skills to engage and build relationships with internal and external stakeholders. Being self-aware and adjusting style to fit into a variety of environments. Being impactful and influential. G. Leadership & Performance Lead by example and lead others formally and informally. Manage your own performance and develop talent. © Ali Khan on behalf of ADHB 2022
8.
Welcome Haere Mai
| Respect Manaaki | Together Tūhono | Aim High Angamua D. Storytelling & Visualisation C. Data Analysis & Modelling B. Data Manipulation A. Requirements & Business Analysis Delivery Skills Skills Framework: The technical delivery skills our analysts require in order to be productive 8 These are the foundational skills that are essential for our analysts to understand the need, source and prepare the data and build effective and relevant insights Competency Capability A. Requirements & Business Analysis 1. Requirements Gathering 2. Requirements Modelling 3. Business Needs Analysis 4. Value Realisation B. Data Manipulation 1. Data Transformation / SQL 2. Data Management 3. Data Quality Management 4. Advanced Data Transformation C. Data Analysis & Modelling 1. Data Analysis 2. Data Modelling 3. Advanced Data Analysis 4. Advanced Data Modelling D. Storytelling & Visualisation 1. Rapid Prototyping 2. Data Story Telling 3. PowerBI Development © Ali Khan on behalf of ADHB 2022
9.
Welcome Haere Mai
| Respect Manaaki | Together Tūhono | Aim High Angamua F. Relationship Management G. Leadership & Performance E. Results Orientation People Skills 6 Skills Framework: The human skills we use to be effective and influential These skills allow us to manage ourselves, our interactions and our levels of success through successful interactions and productive collaboration Competency Capability E. Results Orientation 1. Analytical Thinking and Problem Solving 2. Achievement Orientation 3. Decision-Making 4. Planning and Execution F. Relationship Management 1. Stakeholder Management 2. Communication 3. Impact and Influence 4. Self-Awareness G. Leadership & Performance 1. Direction-setting 2. Performance Management 3. Talent Development 4. Leadership © Ali Khan on behalf of ADHB 2022
10.
Welcome Haere Mai
| Respect Manaaki | Together Tūhono | Aim High Angamua A minimum level of skills are required to be successful, but the real key is a balance of skills across the team to accelerate capability growth Measurement: We measure our team on a regular basis to support growth 10 Skill level Description of skill level Productivity 1 - aware I have read about this and understand what this means conceptually, and I think I can do it. Zero 2 – some experience I have completed training / self-learning, but I haven’t applied it enough yet to be proficient …. Or … I might also have degree in this topic but I am a bit rusty … Zero - Low 3 - Effective I am relatively proficient with a few hours of experience. But I need help when things get hard and generally take a bit of time to deliver. Low - Medium 4 - Expert I can independently operate on my own, deliver quickly, with minimal support and can solve complex problems. Often help others out when they get stuck. Medium - High 5 - Evangelist I am famous for this skill. People often ask me for help and I regularly run training sessions and/or present at conferences. High – Very High Competency Senior BIA BIA Grade 3 BIA Grade 2 BIA Grade 1 Graduate A. Requirements & Business Analysis 4 3 2 2 1 B. Data Manipulation 3 3 2 2 2 C. Data Analysis & Modelling 3 3 2 2 2 D. Storytelling & Visualisation 4 3 3 2 1 E. Results Orientation 4 4 3 3 2 F. Relationship Management 4 3 3 2 2 G. Leadership & Performance 3 3 3 2 1 Total Score (out of 5) 3.57 3.14 2.57 2.14 1.57 How we score Score for each level © Ali Khan on behalf of ADHB 2022
11.
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