Senior BI Engineer — Strategic Finance Analytics Leader

CVS Health

Hartford (CT)

On-site

USD 102,000 - 204,000

Full time

7 days ago
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Benefits offered by this job

Medical/Dental/Vision
Retirement savings
Paid time off
Wellness programs

Job summary

CVS Health is seeking a Sr BI Engineer in Hartford, CT to act as a trusted analytics advisor to the CFO organization, surfacing critical financial insights and delivering decision-ready recommendations.

You will work across data sources, apply statistical reasoning, and shape analytics for enterprise-wide impact, including evolving AI-enabled analytics capabilities and mentoring junior analysts.

Qualifications

  • Bachelor’s degree in a quantitative or analytical field.
  • 5+ years in finance analytics translating data into actionable insights.
  • Proficiency in SQL with Python or R in analytics.
  • Experience with BI tools (Tableau, Power BI, Looker) and cloud databases.

Responsibilities

  • Identify trends, risks, and opportunities in data and distill them into actionable insights for leadership.
  • Explore AI-enabled analytics capabilities and evolve how insights are delivered beyond dashboards.
  • Partner with Finance stakeholders to shape analytical priorities and impact.
  • Collaborate with Analytics Engineering to develop analytics products from scope to deployment.
  • Integrate data from multiple sources to design robust semantic data sources.
  • Ensure solutions are reliable, scalable, and continuously improved through automation.
  • Provide mentorship and code reviews to junior analysts.

Skills

Financial data
SQL
Tableau
Power BI
Looker
Leadership analytics

Education

Bachelor's degree in quantitative field

Tools

ETL tools
Dimensional modeling
Semantic modeling
Statistical modeling

Job description

CVS Health is seeking a Sr BI Engineer in Hartford, CT to act as a trusted analytics advisor to the CFO organization, surfacing critical financial insights and delivering decision-ready recommendations.

You will work across data sources, apply statistical reasoning, and shape analytics for enterprise-wide impact, including evolving AI-enabled analytics capabilities and mentoring junior analysts.

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