Senior Product Analytics Associate

CVS Health

Confirmed live today High trust
Closes in 3 days Remote

Quick summary

Work type
Remote
Location
Dallas, TX
Salary
$83,430–$203,940 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live today
Closes
Sep 30, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $166k
This role $144k
$69k most similar roles pay here $218k

This role pays less than 69% of similar roles. Most pay $129,025–$203,125 — the shaded band above. At the midpoint, this role pays about $144k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 98 open roles on FindRole.

Listed pay typically runs $106,605–$260,590 across 95 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Product Analytics Associate

As a Senior Product Analytics Associate, you will join a cross-functional team including engineering, product, and clinical operations to lead the development of a data-driven product roadmap. Your daily responsibilities involve defining, tracking, and reporting on product metrics regarding performance and profitability while building robust data transformation models to ensure analytics-ready datasets. You will design and interpret A/B tests or apply causal inference methods like Diff-in-Diff and Propensity Score Matching to determine product efficacy. To prioritize deliverables by business impact, you will develop ROI projections and create Power BI dashboards to monitor product health. The role requires advanced proficiency in SQL, experience with Python or R, and familiarity with dbt, Git, and statistical methods such as regression and clustering. You will translate complex technical data into compelling stories for non-technical audiences.

What you'll do

  • Define, track, and report on product performance and profitability metrics.
  • Build and maintain robust data transformation models using dbt or similar SQL-based ETL tools.
  • Design and interpret A/B tests to measure product efficacy.
  • Apply causal inference methods like Diff-in-Diff or Propensity Score Matching when A/B testing is not feasible.
  • Develop ROI projections for analytics projects to prioritize deliverables based on business impact.
  • Translate complex technical data into compelling stories for non-technical audiences.
  • Build and maintain Power BI dashboards to monitor product health and initiative success.

What we're looking for

  • Bachelor's degree in a technical field such as Statistics, Data Science, Computer Science, Engineering, or a related field.
  • 5+ years of experience in a technical product analytics or data science role.
  • Experience with dbt (Data Build Tool) or similar analytics engineering tools including version control via Git.
  • Advanced proficiency in SQL and experience with Python or R.
  • Experience with A/B testing, funnel analysis, and statistical methods like regression, clustering, or predictive modeling.
  • Experience working with data engineering teams to develop data pipelines.
  • Familiarity with advanced causal inference techniques such as instrumental variables (preferred).

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