Lead national‑level advanced analytics initiatives (e.g., revenue & demand forecasting, demand sensing, promo effectiveness/ROI, and scenario planning) that inform pricing, channel strategy, and investment decisions.
Build and operationalize statistical/ML models (time series, causal inference, uplift modeling) that scale across geographies, customer segments, and product lines.
Deliver complex, executive‑ready ad hoc analyses (often with imperfect or incomplete inputs) for commercial leaders with fast, with clear, defensible recommendations.
Develop repeatable analytics assets (code, feature stores, data marts) and documentation so work is durable, auditable, and easy to extend.
Own stakeholder engagement: intake, prioritization, transparency on trade‑offs; shape hypotheses; align on success metrics; and tell the story in a way leaders can act.
Raise the bar on data quality and governance: define critical data elements, implement controls/monitoring, and partner with Data Stewardship to improve reliability of business‑critical datasets.
Build high‑confidence executive dashboards (Tableau) and automated pipelines that reduce manual reporting and shrink time‑to‑insight.

Requirements

Typically requires a Bachelor’s degree and a minimum of 13+ years of related experience.
At this level a graduate degree may be expected with 6 years of related experience.
Advanced proficiency in Python and SQL; strong data-wrangling and feature engineering skills.
Comfort with healthcare/commercial data: medical & pharmacy claims, payer coverage, POS/retail, distributor & inventory, and CRM/marketing platforms.
Experience building attribution and connecting outputs to budget and planning cycles.
Business fluency: you can translate ambiguity into well-framed problems, quantify trade-offs, and recommend decisions with clear assumptions.
Strong storytelling: you make complex methods comprehensible for senior leaders; you visualize uncertainty and risk in ways that drive action.
A bias for governance and reliability: you care about data lineage, reproducibility, and controls—and you know how to implement them.
Strong analytical skills combined with a client service mindset with the capability to define and execute data-driven approaches to solving business questions.

Benefits

A full and comprehensive benefits program.
Growth opportunities on a global scale.
Access to career development through in-house learning programs and/or qualified tuition reimbursement.
An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

advanced analyticsstatistical modelsmachine learningtime seriescausal inferenceuplift modelingdata-wranglingfeature engineeringPythonSQL

Soft skills

stakeholder engagementdata storytellinganalytical skillsclient service mindsetbusiness fluencyproblem framingquantifying trade-offsrecommendation skillsvisualization of uncertaintygovernance and reliability