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.

1. BUILDING AN ANALYTICS TEAM IN AN EVER
EVOLVING WORLD
March 15, 2018

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
HI, I’M SANDY STEIGER
Education
Career
Family
Me
Individualization
Harmony
Responsibility
Positivity
Arranger

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
OUR TEAM CULTURE DEFINES HOW WE WORK

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
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© 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
FOLLOW ME…I KNOW THE WAY

10. THANK YOU