Analytics Consultant

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Team Overview

Role Overview And Core Responsibilities

• 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.

Required Knowledge And Experiences

• 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.

• 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.

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.

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