Senior Business Intelligence Engineer

CVS Health

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Hartford, CTNorthbrook, ILIrving, TXScottsdale, AZWoonsocket, RI
Salary
$101,970–$203,940 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday
Closes
Oct 1, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $153k
$88k most similar roles pay here $232k

This role pays less than 66% of similar roles. Most pay $148,581–$218,125 — the shaded band above. At the midpoint, this role pays about $153k versus about $183k 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 79 open roles on FindRole.

Listed pay typically runs $130,295–$284,280 across 78 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Business Intelligence Engineer

As a Senior Business Intelligence (BI) Engineer within the Pharmacy Services Finance Intelligence organization, you will serve as a trusted analytical advisor to the CFO organization. You will proactively identify trends, risks, and opportunities in financial data, translating complex information into decision-ready insights for stakeholders at all levels. Your daily work involves blending massive amounts of data from disparate sources to engineer holistic semantic layer data sources while integrating AI-enabled conversational and agentic analytics tools. To succeed, you must possess expert SQL skills, experience with Python or R, and proficiency in modern BI visualization tools like Tableau, Power BI, or Looker. You will also provide technical mentorship to junior analysts and collaborate with engineering teams on the full project lifecycle, including architecture and deployment, to solve complex financial data problems across the enterprise.

What you'll do

  • Identify trends, risks, and opportunities in financial data to provide decision-ready insights for leadership.
  • Integrate massive amounts of data from disparate sources to engineer holistic semantic layer data sources.
  • Explore and adopt AI-enabled conversational and agentic analytics tools to evolve how insights are delivered.
  • Partner with Finance stakeholders to anticipate analytical needs and prioritize high-impact business initiatives.
  • Provide subject matter expertise to Analytics Engineering teams during the project lifecycle for product development.
  • Automate and streamline technical processes to ensure data solutions are high-quality and consistently available.
  • Provide technical guidance and mentorship to junior analysts through peer design and code reviews.

What we're looking for

  • Bachelor’s degree in a quantitative or analytical field (or equivalent professional experience).
  • 5+ years of experience with financial data or working in a finance organization to provide actionable business insight.
  • 5+ years of experience writing advanced to expert SQL, complemented by Python or R in an analytics setting.
  • 5+ years of experience with modern BI/analytics visualization tools and cloud database platforms.
  • 5+ years of experience leading large-scale analytics efforts with a proven track record of driving measurable business impact.
  • Exceptional written and oral communication and storytelling skills (preferred).
  • Experience across a broad analytics tech stack including statistical modeling and data engineering fundamentals (preferred).
  • Exposure to or interest in AI-enabled conversational or agentic analytics tools (preferred).

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