The Analytics Advantage

Career paths are rarely linear. When my dreams of becoming a professional basketball player ended after I stopped growing at a towering 5 feet, 8 inches, I had to pivot (pun intended). After a brief stint in academia, I’ve held roles in marketing, communications, customer experience, and management. Each position taught me lessons that I carried with me into the next chapter of my career.

My experience is far from unusual. According to a recent LinkedIn article, professionals entering the workforce today are expected to hold twice as many jobs over the course of their careers as those who entered just 15 years ago. Career reinvention is the name of the game for data professionals, too.

In this month’s issue, we explore ideas that can help move your career forward. Discover why human judgment remains essential in an increasingly automated and AI-driven world, hear how three data professionals navigated unexpected twists and turns in their careers, learn strategies for balancing efficiency and effectiveness, and explore a framework for streamlining processes without sacrificing quality.

Enjoy this month’s issue!

Career paths for data-loving scientists and engineers: Lessons from those who stayed and those who pivoted

Should you change your career path or stay where you are and deepen your expertise? In this blog, JMP Principal Systems Engineer Wendy Tseng shares lessons from scientists and engineers who expanded their impact without changing careers. Discover what influenced their decisions, the skills that helped them succeed, and the opportunities they pursued to evolve in their roles. It’s the first in a two-part blog series offering advice and lessons you can apply to your own professional journey. (8-minute read)

Five reasons why statistical expertise still matters: The human side of predictive modeling 

Automation can build predictive models in minutes, but human judgment and statistically grounded tools are still essential for understanding when to trust the results, question assumptions, and make confident decisions. In this blog, Ryan Lekivetz, Director of Advanced Analytics R&D; Chris Gotwalt, Chief Data Scientist; and Russ Wolfinger, Distinguished Research Fellow, discuss the evolving landscape of predictive modeling and model development, and explain why human expertise remains critical to building models that deliver meaningful insights.  (7-minute read) 

Master in a minute

Variance

Looking for a quick way to understand how spread out your data is? In this lesson from the Statistics Knowledge Portal, learn what variance measures, when to use it, how it’s calculated, and how it connects to other key descriptive statistics, like the mean and standard deviation.
(2-minute read)   

Balancing efficiency and effectiveness for
sustainable success

To thrive in a competitive landscape, success depends on balancing efficiency (which drives quick results) with effectiveness (which fosters innovation, quality, and long-term success). In this article, JMP’s Statistical Ambassador Anne Milley shares a framework for balancing the two, along with four key technologies and methodologies that can help scientists and engineers improve workflows and achieve better results. (4-minute read) 

Statistical strategies to accelerate development (not slow it down)

In a world where accelerated timelines have become the norm, the Quality by Design (QbD) framework can help you streamline your process without compromising quality. In this on-demand Statistically Speaking webinar, Julia O’Neill, Founder and Principal of Direxa Consulting, shares lessons from decades of experience supporting accelerated product development in the pharmaceutical industry, where getting products to market faster can save lives. (1-hour talk) 

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