Sr Analyst, Data Performance

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Team Overview

Role Overview And Core Responsibilities

• Analyze complex datasets, interpret results using statistical techniques, and produce ongoing reports that provide clear and actionable insights.
• Develop and implement databases, data-collection systems, analytical approaches, and other solutions that improve statistical efficiency and data quality.
• Conduct detailed data-shift and score analyses for major data events that may affect consumers, customers, or business outcomes.
• Investigate and research data anomalies identified through internal monitoring processes or direct customer inquiries, documenting findings and recommended actions.
• Identify valuable data sources and analyze large volumes of information to uncover trends, patterns, risks, and opportunities.
• Translate analytical findings and statistical concepts into clear recommendations for technical and nontechnical stakeholders.
• Support the definition, review, and creation of data attributes that address customer and product needs.
• Partner with internal teams to design data-processing rules and support data matching, linking, product consulting, and product-engineering initiatives.
• Recommend improvements to tools, processes, monitoring activities, and reporting solutions in an agile and collaborative environment.

Required Knowledge And Experiences

• Bachelor’s degree in Computer Science, Business Analytics, Economics, Management Information Systems, Business Administration, or a related field
• 3–5 years of relevant experience working with large datasets, data management, data analysis, or data performance activities.
• Advanced English proficiency
• Strong analytical ability to collect, organize, analyze, and communicate significant amounts of information accurately and with close attention to detail.
• Strong problem-solving skills and the ability to manage changing priorities and deliver results in an agile, collaborative environment.
• Proven written and verbal communication skills, including the ability to explain analytical and statistical concepts and results to varied audiences.

Required Technical Skills

• Proficiency in SQL (Structured Query Language), including developing queries to retrieve, analyze, validate, and investigate data.
• Experience creating analytical reports and presenting findings through data-visualization methods.
• Strong Microsoft Excel skills for organizing, analyzing, validating, and communicating data.
• Some exposure to Tableau or Ab Initio- desirable.

We’re also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we’re happy to support your career development and growth in:

• Experience working with Linux environments is considered a nice-to-have.
• Experience with Tableau for developing dashboards and communicating data-quality trends and analytical insights.
• Exposure to Ab Initio or comparable enterprise data-processing and integration technologies.
• Experience supporting data matching, record linking, attribute development, or data-processing rule design.
• Ability to learn new technologies, tools, and processes quickly and recommend practical continuous-improvement opportunities.

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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