Sr Analyst- Data Science and Analytics

Reposted Yesterday
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Pune, Mahārāshtra
Hybrid
Mid level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Role
The Senior Analyst will drive value through advanced data analysis and statistical modeling, focusing on credit portfolio performance, client support, and developing insightful reports.
Summary Generated by Built In

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What We'll Bring:

The Senior Analyst position at TransUnion centers on leveraging advanced data analysis and statistical modeling to drive strategic value for clients, with a strong emphasis on understanding and optimizing credit portfolio performance. The role involves designing, building, and interpreting robust data pipelines, as well as developing insightful business intelligence reports that translate complex data into clear, actionable recommendations.
As a key analytical partner, the Senior Analyst will analyze trends, uncover patterns, and communicate findings in a compelling, client‑friendly manner. The position requires deep proficiency in tools such as R, SQL, Tableau, and Excel, along with a forward‑looking approach to exploring innovative statistical methods and emerging analytical techniques. The role also includes close collaboration with internal teams and clients to enable continuous, data‑driven decision-making and strategic improvements.

What You'll Bring:

As a Senior Analyst at TransUnion, you will apply advanced data analytics and statistical techniques to generate meaningful insights into client business environments, with a strong focus on credit portfolio performance. You will advise clients on optimizing processes and improving strategic decision-making, while designing, analyzing, and interpreting data pipelines and reporting frameworks.

The role also includes researching emerging statistical methods, exploring new analytical tools, and sharing best practices with internal teams. By integrating data analysis with statistical modeling, you will deliver actionable, data-driven recommendations that enhance client outcomes.

Key ResponsibilitiesData Analysis & Interpretation
  • Analyze internal and client datasets to understand business processes, policies, and performance indicators.
  • Construct, interpret, and maintain business intelligence monitoring reports.
  • Identify trends, patterns, and insights from monitoring results and derive logical conclusions.
  • Conduct data interrogation, transformation, auditing, validation, and manipulation across various formats.
Client & Stakeholder Support
  • Provide ongoing support to clients and sales teams by addressing issues, identifying opportunities, and recommending process enhancements.
  • Present analytical outputs, findings, and strategic recommendations clearly and effectively to diverse stakeholders.
Technical & Analytical Execution
  • Import and process raw data from multiple file formats into analytical environments, including R.
  • Use tools such as R, SQL, Tableau, SAS, and Advanced Excel for data analysis, visualization, and report generation.
  • Develop tables, graphs, dashboards, and business intelligence assets to support client decision-making.
  • Perform data mining, warehousing activities, and explore new analytical methodologies to enhance analytical capabilities.
Qualifications & Skills
  • 2–4 years of experience in data handling, analysis, or modeling—preferably within the credit risk or financial services domain.
  • Bachelor’s degree in Statistics, Mathematics, Actuarial Science, Business Mathematics, Informatics, or a related quantitative field.
  • Strong proficiency in R, SQL, Tableau, and Advanced Excel for statistical analysis and reporting.
  • Experience in dashboard creation and business intelligence tools.
  • Excellent analytical skills with the ability to interpret complex datasets and communicate insights effectively.

Impact You'll Make:

Knowledge of Financial Services

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.

TransUnion Job Title

Sr Analyst, Data Science and Analytics

Top Skills

Advanced Excel
R
SAS
SQL
Tableau

What the Team is Saying

Patrick
Tiana
Jason
Lauren
TC
Jay
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Paul
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The Company
HQ: Chicago, IL
13,000 Employees
Year Founded: 1968

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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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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