Senior Manager leading analytics and advisory services at Wellist. Shaping strategies, maximizing ROI, and influencing executive decisions through data-driven insights.
Responsibilities
You will lead analytical work that identifies near-term cost savings, program performance gaps, and strategic opportunities within our client’s wellbeing portfolios.
Your deliverables will include: Comprehensive portfolio analyses integrating Wellist platform usage and “ecommerce” behavioral data, claims-like datasets, and employer-provided inputs.
Strategic ROI assessments for existing client accounts, quantifying value realized and pinpointing areas for higher-impact investment.
Cost-savings opportunity models that map specific benefit adjustments, resource shifts, or product recommendations to measurable financial outcomes.
Monthly and quarterly reporting packages that translate raw utilization data into clear insights, strategic recommendations, and prioritized next steps for clients.
Executive-ready insights that help clients optimize their benefits spend, enhance employee engagement, and close gaps in high-need populations.
Board-level reporting and advanced analytics narratives for client leadership teams.
You will be accountable for ensuring every analysis leads to actions that improve wellbeing support and maximize ROI for clients.
You will use analytics to shape Wellist’s product roadmap and service offerings.
Requirements
5-10+ years of experience in analytics, consulting, strategy, or population health; employer benefits or healthcare preferred.
Demonstrated experience producing ROI models, cost-savings analyses, and strategic portfolio recommendations for enterprise clients.
Proven ability to turn complex datasets into clear, actionable insights for senior executives.
Expertise with analytics tools, including Excel and Sigma; experience integrating multiple data sources (CRMs, ecommerce data) strongly preferred.
Exceptional storytelling skills—able to craft board-level narratives that connect data to business impact.
Strong cross-functional leadership experience, especially partnering with product, engineering, and operations teams.
A demonstrated track record of using analytics to drive measurable value and influence organizational strategy.
A bias toward action, meticulous attention to detail, and a mission-driven mindset.
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