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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
- 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 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 that improve predictive performance while maintaining governance standards and reducing risk.
- Communicate findings and recommendations through executive presentations, dashboards, reports, and business cases that support informed decision-making across technical and business audiences.
- Assess data quality, availability, and readiness to determine the feasibility, effectiveness, and potential value of analytics initiatives and consulting engagements.
- Collaborate with cross-functional teams to operationalize analytics solutions and support scalable deployment across clients, industries, and markets.
- Support client workshops, identify opportunities for expanded analytical engagements, and contribute to business growth through increased solution adoption.
- Contribute reusable analytical assets, methodologies, case studies, and best practices that improve delivery efficiency and accelerate client value.
Required Knowledge And Experiences
- Minimum of 3 years of experience developing analytical, statistical, or machine learning models within financial services, credit risk, analytics consulting, or related industries.
- Strong understanding of predictive modeling techniques, model development processes, and model performance evaluation methodologies.
- Experience working with cross-functional teams and managing multiple priorities in a collaborative business environment.
- Hands-on experience using Python and/or R for analytics, statistical modeling, and solution development.
- Bachelor's degree in Statistics, Applied Mathematics, Actuarial Science, Economics, Financial Engineering, Data Science, or a related quantitative discipline.
- Strong knowledge of statistics, probability, predictive analytics, and quantitative methodologies.
- Advanced proficiency with SQL (Structured Query Language) for querying, analyzing, and managing large datasets.
- Understanding of credit risk analytics, portfolio management concepts, and performance measurement techniques.
- Experience working with cloud-based analytics platforms such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Databricks, or Dataiku.
- Experience using data visualization and business intelligence tools to communicate insights and support decision-making.
- Experience managing analytics projects and stakeholder expectations across multiple business initiatives.
- Experience documenting analytical methodologies, technical processes, and model development practices.
- Prior consulting or client-facing analytics experience.
- Knowledge of model governance, validation, and analytical risk management practices.
- Experience working with credit bureau data and financial-services datasets.
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TransUnion Overview:
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.
TransUnion Job Title
Sr Analyst, Data Science and Analytics
Skills Required
- Bachelor's degree in Systems Engineering, Industrial Engineering, Information Systems, Computer Science, or a related field, or equivalent education and relevant experience.
- Minimum of 3 years of professional experience, including at least 2 years in an IT Analyst, Data Analyst, or related technical role supporting data management processes.
- Experience analyzing large datasets, identifying data quality issues, and implementing corrective actions.
- Knowledge of KPI development and performance management methodologies.
- Experience working with cross-functional business and technology teams to gather requirements, conduct testing, and implement process enhancements.
- Advanced SQL skills, including query development, data validation, stored procedures, functions, and database troubleshooting.
- Experience working with relational databases and data management environments.
- Advanced proficiency in Microsoft Excel, Microsoft Access, and data analysis tools.
- Experience creating reports, performing data reconciliations, and analyzing operational metrics.
- Working knowledge of Python or other automation technologies used for data processing and operational efficiency improvements.
- Knowledge of data governance, data quality, or data management best practices.
- Experience supporting external clients, suppliers, or business partners in a data operations environment.
- Strong problem-solving and analytical thinking capabilities.
- Excellent written and verbal communication skills with the ability to influence and collaborate across teams.
- Initiative, customer orientation, organizational skills, and commitment to delivering high-quality results.
What the Team is Saying
TransUnion Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as strong, with multiple plan choices, reasonable deductibles, and access to mental‑health resources like Spring Health.
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Leave & Time Off Breadth — Flexible Time Off for salaried roles, PTO for hourly roles, paid holidays, wellness days, and hybrid flexibility underpin generous time‑away options.
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Parental & Family Support — Parental and caregiver benefits are emphasized, including 12 weeks of paid parental leave with a gradual return, adoption assistance, dependent‑care FSA, and Care@Work backup care from day one.
TransUnion Insights
What We Do
TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace. We do this by having an accurate and comprehensive picture of each person. This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world. Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve. We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.
Why Work With Us
Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.
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TransUnion Teams
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
