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VP of Services Analytics

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Equifax, Inc.
Full Time position
Listed on 2026-02-21
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Data Engineer, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: VP of Employer Services Analytics
Location: St. Louis

Overview

The VP, Employer Services Analytics is a visionary leadership position responsible for architecting Equifax’s data-driven strategy and transforming complex internal data into high-value client products. You will serve as a strategic partner to Sales, Marketing, and Product teams, using expert data storytelling to influence business evolution and solve critical client pain points. This role requires a technical leader who can bridge the gap between rigorous data engineering and executive decision-making, while fostering a high-performance culture of "curiosity-driven" innovation across a multi-disciplinary team of analysts and scientists.

What

You’ll Do
  • Act as an expert at presenting complex data narratives to clients, identifying business opportunity and solving their pain points

  • Proficient at developing executive-ready presentations and data dashboards that tell a compelling story to non-technical audiences

  • Proven ability to package internal data assets into products and services that are value added to clients

  • Proactively influences business decision on product development based on industry trends, customer behaviors and internal analytics

  • Foster a high-performance culture by mentoring mid-level analysts and engineers, setting the bar for technical rigor and "curiosity-driven" innovation

What experience you need
  • Bachelor s degree or higher in Computer Science, Information Systems, or a related field.

  • 10+ years of experience of managing teams of analytical consultants, data analysts, data engineers and data scientists

  • Deep knowledge of programming languages such as SQL, Python, etc.

What could set you apart
  • A Master’s or PhD in Statistics, Mathematics, Engineering, or a highly quantitative field is preferred

  • Workforce analytics experience is preferred

  • Work experience with regulated data is preferred

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