Manager - Operation Analytics
Role 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
Full Job Posting
Data Architecture & Foundations
Ensure data accuracy, hygiene, and consistency across sources.
Build frameworks that allow for proactive insights rather than reactive reporting.
Partner with Tech/Data Engineering to enhance data models and schemas.
Dispute Analysis & Root Cause Identification
Analyze top‑of‑funnel dispute drivers using trends, segmentation, and statistical techniques.
Build deep dives to identify systemic issues, process gaps, and behavioral patterns impacting disputes.
Partner with Operations, compliance / legal teams to convert insights into measurable actions.
Track and report impact of implemented initiatives on dispute rates and compensation.
Compensation Optimization
- Develop compensation reduction strategies by identifying avoidable cost categories.
- Define guardrails for teams and create dashboards to monitor compensation leakage.
Automation, AI & Process Innovation (Scope to be evolved)
Explore opportunities to leverage AI/ML for proactive issue resolution.
Build and iterate chatbot flows and email automation bots to reduce manual effort.
Work with internal teams to test and deploy automation pilots.
Maintain a roadmap for AI-led improvements across disputes and operations.
Required Knowledge And Experiences
Bachelor’s degree in engineering, Statistics, Economics, Data Science, or related fields.
3–5 years of experience in analytics (operations, business, or product analytics preferred).
Strong proficiency in SQL, PySpark and proven ability to work with large datasets.
Segmentation techniques and basic ML modelling techniques for building predictive solutions
Ability to translate data into actionable insights.
Experience working with cross-functional teams (Product, Ops, Engineering, CX).
Exposure to GenAI framework & measurement (chatbots, NLP models, workflow automation).
Strong communication and stakeholder management skills.
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
About TransUnion
Global information and insights company providing credit reporting and risk management.
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