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Sandy Steiger - Building an Analytics Team in an Ever Evolving World

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2018 Women in Analytics Conference
https://www.womeninanalytics.org/

This talk with focus on what the speaker believes to be the four most important aspects of creating a team:
1. Set the Vision - what do you want the team to be known for? These are the things you want to be able to say you accomplished together as a team - you need a solid understanding of where the market and industry is going to set the appropriate vision.
2. Define the Culture - cultivate a community. When a group of people, a team, feel connected, like a family, they will do better and be better.
3. Build the Team - what talent should you be recruiting to help you achieve your vision? Make sure you also focus on developing your existing talent.
4. Be a Leader - every team has a lead, but great leader motivates their army to want to follow them even when things get tough.

Published in: Data & Analytics
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Sandy Steiger - Building an Analytics Team in an Ever Evolving World

  1. 1. BUILDING AN ANALYTICS TEAM IN AN EVER EVOLVING WORLD March 15, 2018
  2. 2. Agenda 01/ Who is She? 02/ Set the Vision for Evolution 03/ Define the Culture 04/ Build the Team 05/ Be a Leader
  3. 3. 3 HI, I’M SANDY STEIGER Education Career Family Me Individualization Harmony Responsibility Positivity Arranger
  4. 4. 4 WE KNOW WHO WE WANT TO BE  We are analysts, we are researchers, we are social scientists, we are data scientists, we are thought leaders. We are connected by our belief in using data, science, and customer understanding to drive better results across every decision in the enterprise.  We leverage technology to rapidly test new ideas, continuously improve, and pioneer scalable solutions that can adapt to our clients’ ever-changing needs.  We provide each analyst with opportunities that challenge and stimulate them mentally. We help them grow by playing to their strengths and developing their weaknesses.  We aspire to be the organizational glue that connects our missions and functions; continuously looking for opportunities to partner, share, and train so that our company evolves into a highly-unified data science provider.  We are change agents, always looking for new approaches to help us know our customers better than anyone. We live in a constant state of experimentation, looking for a “better way,” and treat innovation work as a priority.
  5. 5. 5 OUR TEAM CULTURE DEFINES HOW WE WORK
  6. 6. 6 IN ORDER TO STAY RELEVANT, ANALYSTS MUST EVOLVE © 84.51° 2017 | Confidential Burtch Works *Source: Burtch Works 2017 SAS, R, or Python Flash Survey Results TIOBE Index *Source: https://www.tiobe.com/tiobe-index/ The TIOBE Programming Community index is an indicator of the popularity of programming languages. The index is updated once a month. The ratings are based on the number of skilled engineers world-wide, courses and third party vendors. Popular search engines such as Google, Bing, Yahoo!, Wikipedia, Amazon, YouTube and Baidu are used to calculate the ratings. It is important to note that the TIOBE index is not about the best programming language or the language in which most lines of code have been written.
  7. 7. 7 WE UNDERSTAND ANALYSTS ARE DIFFERENT Tech Spectrum Analytical Types BI Tools Data Services Data Query & Discovery Orchestration Tools Scientific Languages Deep Sciences Machine Learning More Technical More Consultative
  8. 8. 8© 84.51° 2017 | Confidential OUR TALENT STRATEGY SUPPORTS EACH PROFILE Technical Track Talent Acquisition Talent Retention Talent Development Analysis Community R/Python/ ML Expert Talent Mapping Account. Matrix Chicago Recruiting Strategy Analyst vs. Data Scientist Experienced vs. Grad Revamp University Recruiting Recognition Technology Needs Know the Talent Grad Program Immersion Program Continuing Education Total Rewards G4 Data Science Lead
  9. 9. 9 FOLLOW ME…I KNOW THE WAY
  10. 10. THANK YOU

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