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Data Con LA 2022 - Pre-recorded - How to Become a Business Intelligence Analyst

Data Con LA 2022 - Pre-recorded - How to Become a Business Intelligence Analyst

Christian Bourdeau, Analytics Manager at Activision Blizzard
BI/ Reporting/ Business Use Cases
Showcase how I pivoted from professional concert photography to data analytics at Blue Chip companies. I will show you the classes I took, the skills I developed, and how you can do the same in 2022 and 2023

Christian Bourdeau, Analytics Manager at Activision Blizzard
BI/ Reporting/ Business Use Cases
Showcase how I pivoted from professional concert photography to data analytics at Blue Chip companies. I will show you the classes I took, the skills I developed, and how you can do the same in 2022 and 2023

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Data Con LA 2022 - Pre-recorded - How to Become a Business Intelligence Analyst

  1. 1. How to Become a Business Intelligence Analyst by Christian Bourdeau Senior Business Intelligence Analyst @ PlayStation *these are my own personal views and I do not represent my employer*
  2. 2. Who Am I? ✘ Sr. Business Intelligence Analyst @ PlayStation ✘ Call of Duty eSports Photographer @ Team WaR ✘ Data-Driven Powerlifter
  3. 3. MAY 2016 B.S. Marketing
  4. 4. JUNE 2016 - OCT 2016 Food Photographer
  5. 5. Instagram Engagement Results 1389 LIKES 765 LIKES +624 / +82% Total Likes +17.26 / +25% Avg. Likes
  6. 6. OCT 2017 - JULY 2018 Business Intelligence Analyst
  7. 7. OCT 2017 - JULY 2018 Business Intelligence Analyst
  8. 8. MAY 2019 - DEC 2019 Master Cert in Data Analytics JAN 2019 - MAY 2021 Data Analytics TA
  9. 9. DEC 2019 Sr. Business Intelligence Analyst
  10. 10. JULY 2020 Sr. Business Intelligence Analyst
  11. 11. Who Is This Presentation For?
  12. 12. Who Is This Presentation For? ✘ Recent graduates looking for an edge in the data job market ✘ Data professionals looking to pivot into Business Intelligence ✘ Those that want to learn how to utilize data to optimize business processes
  13. 13. OBJECTIVES 1. What is “Business Intelligence” (BI) ? 2. Why do companies need BI? 3. What tools do BI pros use? 4. What do BI Analysts do day-to-day? 5. How do you land your first BI role?
  14. 14. Business Intelligence Analytics is the process of: 1. Collecting historical and present data 2. Use stats and software to analyze the raw information 3. Deliver insights for making better future decisions SQL Databases Data Viz Tools Reports & Dashboards 1
  15. 15. BUSINESS INTELLIGENCE LIFE CYCLE
  16. 16. Why Do Companies Need BI? 2
  17. 17. Why Do Companies Need BI? ✘ To make smarter and scalable data-driven decisions ✘ Examples: ○ Analyze customer behavior ○ Identify ways to increase profit ○ Optimize operations 2
  18. 18. What Tools Do BI Pros Use? 3
  19. 19. THE BI TECH STACK ✘ EXCEL ✘ SQL ✘ TABLEAU ✘ PYTHON ✘ AMAZON (AWS) ✘ GIT / GITHUB 3
  20. 20. What Do BI Analysts Do? 4
  21. 21. EXCEL REPORTING BUSINESS INTELLIGENCE REPORTING ETL DATA SOURCES ETL DATA SOURCES DATA ANALYSIS & VISUALIZATION REPORT DELIVERY DATA ANALYSIS REPORT DELIVERY S3 - STORAGE
  22. 22. FEATURES EXCEL BI Resilience and Elasticity Flexibility / Scalability Automation Running Costs Security
  23. 23. How Do You Land Your First BI Role? 5
  24. 24. While searching for work I ... ✘ Read 100+ Personal Dev books ✘ Watched 500+ hrs of LinkedIn Learning ✘ Completed a Udacity course on BI ✘ Enrolled in USC’s Data Bootcamp ✘ Watched 100+ hrs of Tableau Training ✘ Created 10+ data projects! 5
  25. 25. As a result ✘ I got 9 job offers in 2019 ✘ Landed a job at Nike then Sony in July 2020 ✘ QUADRUPLED MY PAY ✘ All with little-to-no data work experience 5
  26. 26. HOW DO YOU LAND YOUR FIRST ROLE? 1. Learn the Tech Stack 2. Create Projects 3. Optimize Your LinkedIn & Resume 4. Learn How to Job Hunt 5
  27. 27. LEARN THE TECH STACK: Excel, SQL, Tableau, Python FREE ✘ Udacity* ✘ SoloLearn ✘ Coursera ✘ Codecademy $ ✘ Udemy ✘ edX ✘ Datacamp ✘ Dataquest ✘ Codecademy (PRO) ✘ Linkedin Learning $$$ ✘ Udacity Nanodegree ($200+ month) ✘ Data Bootcamps ($8-18k+) ✘ MS / MBA in Data ($40k+) 5.1
  28. 28. CREATE PROJECTS! ✘ Popular Data Sources: ○ Kaggle ○ Google Datasets ○ Yelp API ✘ Share on Linkedin / GitHub ✘ Use it in job applications! 5.2
  29. 29. LEARN BASIC JOB HUNTING ✘ Resume Building ✘ Professional Branding on LinkedIn ✘ Use Talent Agencies ✘ Network! 5
  30. 30. POST-COLLEGE REALIZATION ✘ NO job ✘ NO previous experience in data ✘ NO coding knowledge ✘ NO internships ✘ NO resume ✘ NO LinkedIn 5
  31. 31. RESUME BUILDING ✘ What makes a good resume? ✘ What does a good one look like? ✘ What should I include on it? 5
  32. 32. JOHN DOE JOHN DOE
  33. 33. Resume that got me NIKE --->
  34. 34. LINKEDIN TIPS ✘ Fill in EVERYTHING ✘ Customize your URL ✘ Turn on “Looking for Job Opportunities” ✘ Get 500+ connections 5
  35. 35. USE TALENT AGENCIES ✘ Their job is to find you a job ✘ They get paid when you get paid ✘ Need a decent LinkedIn and resume ✘ Agencies: TEKsystems, VACO, Harnham, Robert Half, Creative Circle, The Creative Group, and more 5
  36. 36. Network & Be a Part of a professional org.
  37. 37. HOW TO NETWORK EFFECTIVELY ✘ Go to data relevant events (ex: DataConLA, Clubhouse) ✘ Participate in Data User groups (ex: meetup.com) ✘ Be prepared (resume, LinkedIn, business cards, research, etc.) ✘ Have an elevator pitch ✘ Talk to people and connect on LinkedIn ✘ Schedule lunch/coffee/drinks for informational interviews to learn more about them and what they do ✘ Ask about openings at their work 5
  38. 38. SUMMARY 1. Focus on learning the foundations of data, along with the widely used tools: Excel, SQL, Python, Tableau 2. Utilize projects to fill in experience gaps and learn tools 3. Develop your personal brand to reflect data expertise (even if you have no experience)
  39. 39. QUESTIONS? CONNECT WITH ME ON LINKEDIN

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