Associate Director, Commercial Analytics

Vera Therapeutics is a commercial-stage biotechnology company focused on the pursuit of truth in science to transform medicine in autoimmune disease, starting with the kidney. Vera Therapeutics’ flagship commercial product is TRUTAKNATM (atacicept-vymj), a B-cell activating factor (BAFF) and A proliferation-inducing ligand _(_APRIL) inhibitor. Vera Therapeutics is evaluating multiple diseases where the reduction of autoantibodies through inhibition of BAFF and APRIL may prove clinically meaningful. Vera Therapeutics was founded in 2016 and is based in Brisbane, California. To learn more, visit www.veratx.com.   At Vera, our values are the cornerstone of our culture and guide how we work together every day. We lead with empathy, act with an owner’s mindset, demand clarity, work without fences, and execute with urgency because patients are counting on us. From how we hire and develop our people to how we advance rigorous science, we are building a team committed to transforming medicine in autoimmune diseases, starting with the kidney. 

Position Summary:

The Associate Director, Commercial Analytics drives promotional effectiveness analytics for TRUTAKNA — measuring whether Vera’s promotional investment is working and shaping where it goes next. Reporting to the Senior Director, Commercial Forecasting and Advanced Analytics, the role also carries opportunities to flex into support for commercial forecasting as business needs and the individual’s interests align.

This is a hands-on, high-visibility individual contributor role in a lean commercial team. The person in this seat builds the models, forms a view on what they mean, and brings that thinking to commercial leadership. Partners include Business Operations, Marketing, Market Access, Sales, Patient Services, Launch Excellence, Finance, and Supply.

 Responsibilities:

Promotional Effectiveness

• Drive promotional effectiveness analytics for TRUTAKNA and inform the optimal level and mix of promotional investment across channels, audiences, and customer segments.
• Build and interpret promotional response models, program ROI analyses, and channel and campaign measurement; develop marketing mix and promotional sequence optimization capability as promotional history accumulates.
• Estimate the sales impact of personal and non-personal channels using statistical and predictive modeling, and design test-and-learn approaches where historical data is thin.
• Ground segmentation, targeting, and customer prioritization in promotional responsiveness rather than volume alone, refreshing as diagnostic patterns and account discovery evolve.
• Support field sizing and deployment, territory alignment, goal setting, and incentive compensation design with promotional responsiveness and workload analysis.