Unfortunately, not everybody thinks like a data scientist.
Your leadership team doesn’t care about your fancy tech or the cool way you found the answers, they just care about the answers they need to move the business forward.
That’s why when you tell them a data story, you need to make sure you’re speaking their language.
Before joining Mindbody, Alex focused on strategic analysis to help decision-making for future projects, programs, promotions, and executive decisions when working with companies including Zappos, Vancouver Analytics Group, and Elicit.
At Mindbody, he has moved into a strategic data-position where his focus shifted from being solely centered on data science to also include data engineers, business intelligence, business analysts, and data governance.
This holistic approach has given him a deep appreciation and understanding of the entire data pipeline.
What we talked about:
- Why data teams should be Switzerland in any organization and remain neutral
- How to get executive buy-in (and funding) for large data projects
- How to get the right people in the right positions
- Why diversity of thought is essential for a thriving team
- The qualities that make a great analytics leader
- Why data storytelling requires a learn-by-doing approach
- What a future where data is heavily regulated means for data leaders