Quick summary
- Work type
- Hybrid
- Location
- St. Louis, MO
- Posted
- 44 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
Similar $175k
$121k
most similar roles pay here
$217k
This listing doesn't post a salary. Most similar roles pay $142,937–$207,500.
Based on 240 similar postings.
Employer
About Equifax
Equifax is a global data, analytics, and technology company and one of the "Big Three" credit reporting agencies, specializing in consumer and commercial credit information.
Equifax currently has 25 open roles on FindRole.
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At a glance
TL;DR · VP of Employer Services Analytics
The VP, Employer Services Analytics leads a high-performing team of analysts and scientists at Equifax, driving the company’s data-driven strategy by transforming complex internal data into valuable client products. This visionary role involves shaping the roadmap for sales enablement, marketing, and product evolution through expert data storytelling and strategic partnerships with various business units. The ideal candidate will have over 10 years of experience managing analytical teams and deep expertise in programming languages like SQL and Python, along with a strong background in statistics or mathematics. They must excel at developing executive-ready presentations and fostering a culture of innovation while working within the regulated data environment typical of financial services.
Skills
What you'll do
- Lead the transformation of internal data into high-value client products for Employer Services.
- Synthesize industry trends, customer behaviors, and analytics to influence product development decisions.
- Develop executive-ready presentations and dashboards translating technical insights into business narratives.
- Architect robust, scalable data pipelines and reporting frameworks supporting all Employer Services products.
- Mentor mid-level analysts and engineers, fostering a culture of "curiosity-driven" innovation.
What we're looking for
- 10+ years of managing analytical teams including consultants, analysts, engineers, and scientists.
- Deep expertise in programming languages like SQL and Python for data analysis.
- Master’s or PhD in Statistics, Mathematics, Engineering, or a quantitative field preferred.
- Proven ability to transform internal data into high-value client products and services.
- Experience with workforce analytics and regulated data is advantageous.
- Expertise in developing executive-ready presentations and data dashboards.
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