Technology powers TransUnion’s promise to make trust possible by delivering secure, seamless and innovative technology to ensure each person is reliably represented in the global marketplace. In transforming for the future, its people are at the center, leading the change. Its tech strategy focuses on empowering talent through a learning environment with a broad range of development opportunities. And with 10 enterprise inclusion and belonging groups, TransUnion creates an environment where all associates feel welcome, respected and empowered to succeed. “TransUnion has a long history reflecting its commitment to innovation as well as celebrating our achievements as we embark on leveraging new technologies,” said team member Jenn Plowman.
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Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Processes high-volume inbound consumer correspondence by opening, preparing, sorting, reviewing, categorizing, scanning, batching, and indexing documents into appropriate workflows. Maintains accuracy, confidentiality, production, and quality standards while escalating issues and collaborating with supervisors and teammates. The role requires independent multitasking in a fast-paced, fully onsite environment, including lifting up to 30 pounds throughout the workday.
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Design, provision, automate, monitor, and maintain cloud infrastructure and commercial services. Build infrastructure as code, automate SDLC and operational processes, support cloud migration, improve system performance and security, and implement business continuity and disaster recovery. Lead incident root-cause analysis and participate in a 24x7 on-call rotation while ensuring compliance, privacy, and information-security requirements.
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Support capacity planning and forecasting by analyzing operational data, building reports and dashboards, extracting and validating data with SQL, and using Python or R for automation and exploratory analysis. Perform data quality checks, improve reporting processes, document work, and present insights and recommendations to technical and non-technical stakeholders.
