Data Analyst Transunion - Hiring 2026
Explore the latest Transunion jobs 2026 and find exciting career opportunities. Transunion is currently hiring for Experienced professionals. This vacancy is entitled as a Hyderabad jobs, offcampus jobs in Transunion, and also explore all other Data Analyst Transunion - Hiring 2026 listings. Don't miss this chance to kickstart your career with Transunion today. All eligible candidates are advised to apply for this job as soon as possible. For more information kindly go through the below details.
About Transunion
Data Analyst Transunion - Hiring 2026
As consumers and organizations increasingly transact with those they don’t know, a reliable basis for trust has never been in greater demand — and in such short supply. That’s where TransUnion comes in.
TransUnion has been in the business of enabling trust for over 50 years as a credit reporting agency. Decades of stewarding and analyzing data have given us a holistic understanding of consumer identity. Additionally, substantial investments in new data sources and technology have fueled expansion into new areas like fraud, marketing and customer-driven analytics.
Today, TransUnion is a global information and insights company that makes trust possible in global commerce. We do this through a Tru™ picture of each person: an actionable view of each consumer based on a robust set of online, offline, public and proprietary information, stewarded with care.
Job Details
| Company | Transunion |
|---|---|
| Position | Data Analyst |
| Location | Hyderabad |
| Job Type | Full Time |
| Experience | Experienced |
| Website | https://transunion.com |
Qualifications
- Master’s or Bachelor’s degree in Computer Science, Engineering, Statistics, Economics, or a related field (Master’s preferred).
- 1–2 years of hands‑on experience in data analysis, exploratory analysis, and dashboard/report development.
- Strong analytical and problem‑solving abilities.
- Experience working with SQL, BigQuery, Hive, or Spark.
Responsibilities
- Data Analysis & Operational Analytics: Provide timely insights for operational decision-making and performance optimization.
- Data Quality Monitoring: Maintain data integrity and proactively identify anomalies to prevent business risks.
- Dashboarding & Reporting: Develop and maintain dashboards aligned with KPIs for leadership visibility.
- Stakeholder Support: Deliver ad-hoc reports and collaborate with cross-functional teams to meet data needs.
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