Overview
Lead complex analytical work for the Consumer Interactive Analytics team, translating data into actionable insights and serving as a subject matter expert for cross-functional partners.
What you'll do
- Lead analysis of complex business, customer, product, and operational data to identify trends, risks, and opportunities and recommend actions.
- Design, develop, and enhance scalable reports, dashboards, scorecards, analytical datasets, and business intelligence solutions.
- Partner with cross-functional stakeholders to frame ambiguous questions, define analytical approaches, and translate requirements into practical solutions.
- Lead data-driven investigations of operational, legal, regulatory, compliance, and customer-impacting issues, producing clear evidence and defensible conclusions.
- Design and implement descriptive, predictive, and diagnostic analyses, including segmentation, forecasting, experimentation, and modeling, to address complex business questions and inform decisions.
- Validate data, definitions, methods, and outputs; perform root-cause analysis; and document assumptions, controls, and sources for governance and auditability.
- Define and monitor KPIs and communicate insights and recommendations through concise, executive-ready presentations.
- Independently lead complex analytical workstreams, establish analytical approaches and quality standards, collaborate across analytics, data science, engineering, product, and operations, and mentor other analysts.
What you'll need
- 6+ years of progressive experience in business intelligence, analytics, data science, business analysis, reporting, or a related discipline.
- Demonstrated ownership of complex analytical work, including framing ambiguous business questions, selecting appropriate analytical methods, and translating results into scalable solutions and actionable recommendations.
- Experience analyzing large datasets, developing KPIs and reporting, and communicating findings to technical, non-technical, and executive audiences.
- Ability to work independently, manage competing priorities, influence partners, and guide other analysts.
- Bachelor's degree in a quantitative or related field; equivalent practical experience will be considered.
- Advanced SQL and proficiency with Python, R, or a comparable statistical programming language.
- Experience with big-data environments and BI or visualization tools such as Spotfire or Superset.
- Advanced Microsoft Excel skills and knowledge of relational databases, data warehousing, data quality controls, and governance.
Nice to have
- Experience with consumer-facing digital products, financial services, or operational, compliance, risk, legal, or regulatory analysis.
- Experience applying statistical methods such as segmentation, regression, forecasting, experimentation, or sensitivity analysis.
- Familiarity with cloud data platforms, Ab Initio, and cross-functional analytical delivery.
- Graduate degree in a quantitative field with advanced coursework in statistics or analytics.
Details
- Hybrid position: a minimum of two days a week in person at an assigned TransUnion office location, with the remainder performed virtually.
- Location: Pune.
Read the full description and apply on the company’s own careers page.