Career in Data Using Tableau
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The document outlines career opportunities and skill requirements for positions involving Tableau, including roles such as business analyst, data analyst, and data scientist. It emphasizes the importance of technical aptitude, curiosity for data, and knowledge of related tools like SQL and visualization software. Additionally, it provides guidance on preparing for interviews, networking, and learning resources to help individuals enhance their skills in data visualization and Tableau.
Career in Data Using Tableau
- 2. Career in Data Using Tableau Tableau Fringe Festival 2016 Jen Vaughan #TFFJen
- 10. IT + Tableau = Tableau Jen • Human Resources Management • Management Information Systems • Program Management • Admin IT (Finance, Security, RE&F) • HRIT • Tableau • Tableau Product Consultant • BI Analyst/Developer/Engineer • Server Administrator • Accredited Tableau Trainer • Tableau Social Ambassador
- 11. Main Helping Points • What does a career using Tableau look like? • How to prepare for an interview? • How do I get to know, really know Tableau? #TFFJen
- 12. Who are You? 1. Technical aptitude 2. Curiosity for data 3. Ability to Learn and adapt 4. Know basic SQL
- 13. Job Title: search Open Listings for ‘Tableau’ • Business Analyst • Data Analyst • Reporting Analyst • System Analyst • BI/Tableau Analyst • BI/Tableau Developer • BI Engineer • Data Scientist
- 14. ‘Reporting analyst’ • Develop new reports and revise existing reports including automation of reports. • Respond to requests for custom reports, queries, data extracts or ad hoc reports in a timely manner. • Train internal and external stakeholders on new/revised reports. Skills needed: • Extensive skill in report development, documentation, testing and deployment • Data visualization skills Healthcare Management Administrators - Bellevue, WA
- 15. ‘Principal Data Scientist’ • Lead applied analytics initiatives: research, design, implement and validate algorithms to analyze diverse sources of data to achieve targeted outcomes. Monitor, analyze, and iterate to continuously improve. Required: • Deep understanding of statistical, predictive and descriptive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms. Nintendo - Redmond, WA
- 17. Tech Skills to have • Excel (Pivot) • Write queries and fetch data from MS-SQL, Oracle and Teradata • Tableau, PowerBI, other visualization tools • Modeling - Root cause analysis, behavioral analysis “Analytical dexterity and excellent communication skills are critical to success in this position. “ -T-Mobile: Sr. BI Analyst, Req 59908BR
- 18. Bonus Points • Knowledge of Alteryx • Statistical analysis experience using SAS or R • Javascript • C, C++, Java, Python
- 19. Getting to Know Tableau • Social media • Tableau User Groups • Tableau hosted events (virtual/local) • Think Data Thursday • On-demand training videos • Tableau Zen Masters • Join the Community!
- 20. Interviewing Toolkit • Passion • Know Tableau • Demo • Product Line • Read Gartner research • Tell Story • Tableau Public
- 21. 3 C’s to Learning Data Visualization 1. Courses for free – Tableau On-demand and free online college courses 2. Coding • https://www.khanacademy.org/ • https://www.codecademy.com/ 3. Certificates • Continuing Education courses • Certified by Tableau
- 25. Growing your Network • Industry – Professional, collegiate • Tableau – Open Houses, Conference, Community forum, User Groups • Data – Meetups, User Groups • Volunteer – Of interest
- 26. Become Certifiably Tableau • Desktop • Qualified Associate • Professional • Server • Qualified Associate • Professional • Train-the-Trainer • Desktop • Server
- 27. Appendix
- 28. #TFF16 Participant Titles • Consulting Analyst • Sr Data Analyst • Director, Data Visualization • Director, Analytics