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

Required Experience

• 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.

Required Technical Skills

• 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.

Preferred Qualifications

• 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.

TransUnion Job Title

Consultant, Data Analysis and Consulting