TransUnion's Job Applicant Privacy Notice

Team Overview
The Data Science & Analytics team within Analytics Consulting designs and delivers advanced analytics solutions that help financial institutions, fintechs, retailers, and other credit-granting organizations improve risk management, customer acquisition, portfolio performance, collections effectiveness, and customer engagement. By combining credit bureau data, alternative data sources, advanced analytics, and industry expertise, the team transforms insights into consulting services and scalable solutions that generate measurable business value. The team plays an important role in advancing data-driven decision-making across the credit ecosystem and supporting TransUnion's growth strategy. This role reports to the Director, Data Science & Analytics.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Role Overview And Core Responsibilities




This role exists to develop and deliver analytics solutions that help clients make better risk, growth, and customer decisions. Through advanced modeling, data analysis, and consulting engagements, the role contributes to improved portfolio performance, operational efficiency, customer acquisition strategies, and business growth outcomes.

Core Responsibilities
- Design and deliver analytics consulting engagements that help clients improve risk management, customer acquisition, portfolio optimization, collections performance, and customer engagement outcomes.
- Develop actionable insights and analytical solutions using credit bureau data, alternative data, portfolio information, and market intelligence to support data-driven business decisions.
- Partner with commercial, product, technology, and client stakeholders to define business objectives, scope analytical initiatives, and align deliverables with measurable client outcomes.
- Conduct explorat

📌 Sr. Analyst (Miguel Hidalgo)
🏢 Transunion
📍 Miguel Hidalgo