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Dexcom Deutschland GmbH · 1 day ago

Sr Staff Commercial Operations Analyst

San Diego, CA

Full-time

Hybrid

Senior Level, Lead/Staff

$142K/yr - $236K/yr

13+ years exp

Dexcom Corporation is a pioneer and global leader in continuous glucose monitoring (CGM). The Sr Staff Commercial Operations Analyst will lead advanced analytics initiatives to empower commercial leadership with actionable insights, focusing on predictive and prescriptive modeling using large datasets.

Medical Device

Responsibilities

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

Qualification

PythonSQLStatistical/ML modelsHealthcare/commercial dataData governanceAnalytical skillsClient service mindsetStorytelling

Required

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