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Descripción general del equipo The Data Acquisition Management team is responsible for ensuring the quality, consistency, completeness, and availability of data received from clients and 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 strategies, and customer engagement. By combining credit bureau data, alternative data, analytics, and industry expertise, the team transforms insights into consulting services and scalable solutions that create measurable business value. The team plays a critical role in advancing decision intelligence across the credit ecosystem while supporting TransUnion's broader 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.

Resumen del rol y responsabilidades clave

Design and deliver analytics consulting engagements that address risk management, customer acquisition, portfolio optimization, collections strategy, and customer engagement challenges.

Develop insights and analytical solutions using credit bureau data, alternative data, client portfolio information, and market intelligence to support business decision-making.

Partner with commercial, product, technology, and client stakeholders to define business objectives, scope analytical initiatives, and align deliverables with client outcomes.

Conduct exploratory data analysis, segmentation, benchmarking, performance monitoring, and portfolio diagnostics to identify opportunities and quantify business impact.

Support the development, validation, implementation, and monitoring of analytical models, scores, attributes, and decision strategies while maintaining analytical rigor and governance standards.





Communicate findings and recommendations through executive-level presentations, dashboards, reports, and business cases tailored to technical and non-technical audiences.

Assess data quality, availability, and readiness to determine the feasibility and effectiveness of consulting engagements and analytical use cases.

Collaborate with cross-functional teams to operationalize analytics solutions and support scalable deployment across clients and markets.

Support client workshops and identify opportunities for expanded analytical engagements and product adoption.

Contribute reusable assets, methodologies, case studies, and best practices.

Conocimientos y experiencia requeridos

Minimum of 3 years of experience developing analytical, statistical, or machine learning models in financial services, credit risk, or consulting environments.

Strong understanding of predictive modeling techniques and model performance evaluation.

Experience working with cross-functional teams and managing competing priorities.

Hands‑on experience with Python and/or R for analytics and model development.

Bachelor's degree in Statistics, Applied Mathematics, Actuarial Science, Economics, Financial Engineering, Data Science, or related discipline.

Required Technical Skills

Strong knowledge of statistics, probability, and analytical methodologies.

Advanced SQL skills working with large datasets.

Understanding of credit risk analytics concepts and portfolio management.

Experience with AWS, Azure, GCP, Databricks, or Dataiku.

Experience with data visualization and business intelligence tools.

We're also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we're happy to support your career development and growth in:





- Experience managing analytical projects and stakeholder expectations.
- Experience documenting methodologies and technical processes.
- Prior consulting or client‑facing analytics experience.
- Knowledge of model governance and validation practices.
- Experience working with credit bureau data.

Título de trabajo de TransUnion:Sr Analyst, Data Operations

En TransUnion, fomentamos y estamos comprometidos con generar un impacto real y positivo, así como un sentido compartido de propósito a través de nuestra iniciativa Workforce for Good. Esta iniciativa empodera a nuestra gente para crecer, innovar y contribuir a un mejor futuro para nuestras comunidades y nuestros clientes. Trabajamos para construir un entorno en el que nuestros colaboradores tengan el control de su crecimiento profesional, contando al mismo tiempo con el apoyo necesario a lo largo del camino. Reconocemos que el éxito se alcanza cuando nuestros colaboradores prosperan tanto a nivel profesional como personal; por eso priorizamos la flexibilidad entre la vida laboral y personal, y ofrecemos recursos que permiten a nuestros equipos en todo el mundo colaborar y alcanzar la excelencia. Sé parte de nuestra Workforce for Good: trabajarás con personas extraordinarias, productos innovadores y tecnología de vanguardia.

TransUnion is a global information and insights company with over 12,000 associates operating in more than 30 countries. We make trust possible by ensuring each person is reliably represented in the marketplace. We do this with a Tru™ picture of each person: an actionable view of consumers, stewarded with care. Through our acquisitions and technology investments we have developed innovative solutions that extend beyond our strong foundation in core credit into areas such as marketing, fraud, risk and advanced analytics. As a result, consumers and businesses can transact with confidence and achieve great things. We call this Information for Good® — and it leads to economic opportunity, great experiences and personal empowerment for millions of people around the world.

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📌 Sr. Analyst - Data Operations (México)
🏢 Transunion
📍 México