Senior Data Analyst

Equifax•Saint Louis, MO

52d•Hybrid

About The Position

At Equifax, we believe knowledge drives progress. As a trusted global leader in data, analytics, and technology we deliver insights that power decisions to move people forward. We play an essential role in the global economy by helping employers, employees, financial institutions, and government agencies make critical decisions with greater confidence. Our Team's Unique Mission: While Equifax is known for consumer credit solutions, our team directly supports the government industry. This is high-stakes work: we help fulfill millions of verifications annually for individuals seeking essential public assistance, ensuring they get the help they need while simultaneously guaranteeing integrity in government operations. Our advanced analytics team is the strategic core at this critical intersection of social impact and data governance. We provide the essential insights and decision support necessary to maintain data integrity and guarantee the success of government social assistance services. Our Commitments: We are nearly 15,000 bright minds determined to do the right thing and put people first as we strive to create economically healthy individuals and communities everywhere we do business. We focus on nurturing our people for career advancement, supporting our next generation of leaders, and maintaining an inclusive work environment. What You'll Do This role is responsible for leading and driving advanced analytics that support sales enablement, pricing, marketing, and product development, operating with significant autonomy within our advanced analytics cloud environment.

Requirements

Strong analytical skills including the ability to rapidly learn new business and data assets, and apply findings to drive tangible business impact.
5+ years of progressive work experience in identifying, gathering, transforming, and analyzing complex data within and across database platforms (Mastery-level SQL is required).
Expert-level proficiency in developing and maintaining complex, dynamic dashboards using Tableau or other leading business intelligence tools.
Required: Bachelor's degree in Mathematics, Statistics, Engineering, Business Analytics, or a comparable quantitative discipline or experience.
Possess outstanding written and verbal communication skills with a proven ability to consult, influence, and translate technical concepts for business leaders and non-technical stakeholders.

Nice To Haves

Advanced degree (Master's or PhD) is highly preferred.
Proficiency in Python, R, or other statistical programming languages for modeling and advanced analysis.
Direct experience building, loading, transforming, and analyzing data within Google Cloud Platform (GCP) or similar major cloud environments (AWS/Azure).
Prior work experience in the SaaS or FinTech industry driving strategic analytics for pricing, sales, or marketing functions.
Work experience with regulated data
Work experience using AI/Generative AI tools (e.g. Gemini, CoPilot) to accelerate workflow, improve code efficiency, or identify novel insights.

Responsibilities

Strategic Analysis & Insights: Collect, process, and analyze complex data to proactively identify, define, and scope new analytic initiatives that address key business challenges and growth opportunities.
Business Translation & Communication: Translate complex data findings into actionable insights to inform business strategy, product development, and executive decision-making. Maintain a consultative approach to data projects, with the ability to artfully articulate the analysis and narrative to non-technical audiences.
End-to-End Solution Ownership: Take full ownership of delivering quality projects to the business, applying rigor to business requirements, design, and aftercare of the solution when deployed.
Technical Modeling & Tooling: Utilize Equifax's diverse data sources to craft solutions using various analytical and modeling techniques through the most appropriate open source and/or proprietary tooling.
Data Quality & Governance: Design and maintain foundational data models, ensuring data integrity, governance, and quality for high-reliability reporting and analysis.
Leadership & Mentorship: Act as a Technical Subject Matter Expert (SME), providing guidance, coaching, and technical assistance to junior data analysts, analytical consultants, and other team members to elevate the team's overall productivity.

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