Data Con LA 2022 - Pre-recorded - How to Become a Business Intelligence Analyst
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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. 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. Who Am I? ✘ Sr. Business Intelligence Analyst @ PlayStation ✘ Call of Duty eSports Photographer @ Team WaR ✘ Data-Driven Powerlifter
- 4. JUNE 2016 - OCT 2016 Food Photographer
- 5. Instagram Engagement Results 1389 LIKES 765 LIKES +624 / +82% Total Likes +17.26 / +25% Avg. Likes
- 6. OCT 2017 - JULY 2018 Business Intelligence Analyst
- 7. OCT 2017 - JULY 2018 Business Intelligence Analyst
- 8. MAY 2019 - DEC 2019 Master Cert in Data Analytics JAN 2019 - MAY 2021 Data Analytics TA
- 9. DEC 2019 Sr. Business Intelligence Analyst
- 10. JULY 2020 Sr. Business Intelligence Analyst
- 11. Who Is This Presentation For?
- 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. 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. 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
- 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. What Tools Do BI Pros Use? 3
- 19. THE BI TECH STACK ✘ EXCEL ✘ SQL ✘ TABLEAU ✘ PYTHON ✘ AMAZON (AWS) ✘ GIT / GITHUB 3
- 20. What Do BI Analysts Do? 4
- 21. EXCEL REPORTING BUSINESS INTELLIGENCE REPORTING ETL DATA SOURCES ETL DATA SOURCES DATA ANALYSIS & VISUALIZATION REPORT DELIVERY DATA ANALYSIS REPORT DELIVERY S3 - STORAGE
- 22. FEATURES EXCEL BI Resilience and Elasticity Flexibility / Scalability Automation Running Costs Security
- 23. How Do You Land Your First BI Role? 5
- 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. 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. 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. 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. CREATE PROJECTS! ✘ Popular Data Sources: ○ Kaggle ○ Google Datasets ○ Yelp API ✘ Share on Linkedin / GitHub ✘ Use it in job applications! 5.2
- 29. LEARN BASIC JOB HUNTING ✘ Resume Building ✘ Professional Branding on LinkedIn ✘ Use Talent Agencies ✘ Network! 5
- 30. POST-COLLEGE REALIZATION ✘ NO job ✘ NO previous experience in data ✘ NO coding knowledge ✘ NO internships ✘ NO resume ✘ NO LinkedIn 5
- 31. RESUME BUILDING ✘ What makes a good resume? ✘ What does a good one look like? ✘ What should I include on it? 5
- 32. JOHN DOE JOHN DOE
- 33. Resume that got me NIKE --->
- 34. LINKEDIN TIPS ✘ Fill in EVERYTHING ✘ Customize your URL ✘ Turn on “Looking for Job Opportunities” ✘ Get 500+ connections 5
- 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. Network & Be a Part of a professional org.
- 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. 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. QUESTIONS? CONNECT WITH ME ON LINKEDIN