Senior Data Management and Quality Analyst

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices Team Overview The Data Performance team is part of Data Asset Management within Global Operations and is responsible for improving the quality, performance, and value of TransUnion’s data assets. The team monitors data quality throughout the data lifecycle, identifies insights that support informed decision-making, and partners across the organization to ensure TransUnion’s data continues to meet evolving customer and business needs. This position reports into a Manager for Data Analysis. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Role Overview and Core Responsibilities Develop deep expertise in TransUnion’s credit and alternative data assets and provide subject matter expertise across business and data initiatives. Analyze large, complex datasets to identify trends, risks, opportunities, and actionable insights that support business and customer outcomes. Translate technical findings and analytical results into clear recommendations, practical solutions, and measurable business value. Lead data quality investigations, identify root causes, and implement enhancements that improve data performance and customer outcomes. Design, develop, and maintain data quality measures, reporting, and dashboards for operational and executive stakeholders. Partner with business and technology teams to support Business Acceptance Testing (BAT) for major data events, platform changes, and product enhancements. Develop prototypes, analyses, and data-driven solutions that support innovation, product development, and new market opportunities. Independently lead projects from initial concept through implementation while balancing strategic objectives, competing priorities, and executional details. Identify and implement opportunities for process improvement, automation, and operational efficiency. Mentor team members by sharing knowledge, coaching analytical approaches, and promoting consistent data and analytical best practices. Required Knowledge and Experiences Bachelor’s degree in Data Management, Business Analytics, Information Systems, Statistics, Business Administration, or a related field, or equivalent work experience that provides the analytical and business knowledge needed for the role. 7+ years of experience in data analysis, data management, data quality, business intelligence, or a related discipline, including experience using data to address complex business needs. Strong analytical, critical-thinking, and problem-solving capabilities, with demonstrated success moving from data investigation and root-cause analysis to practical business recommendations. Experience translating complex technical findings into clear, concise insights for business stakeholders and senior leaders to support decision-making. Demonstrated ability to independently lead initiatives, manage multiple priorities, learn new business domains and data assets quickly, and communicate effectively in a fast-paced, collaborative environment. Required Technical Skills Advanced SQL (Structured Query Language) skills, including experience querying, investigating, and analyzing large, complex datasets. Experience developing data quality measures, analytical reporting, or dashboards that communicate performance, trends, and business impact. Experience applying data analysis techniques to identify trends, risks, root causes, and improvement opportunities. Ability to use analytical tools and data environments to transform raw data into actionable insights and solutions. 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: Knowledge of financial services, credit risk, consumer credit, or another data-driven industry. Experience using Linux command-line tools. Experience with Python, R, Tableau, Apache Superset, or similar analytical and data visualization tools. Experience working with large-scale data technologies such as Google BigQuery, Apache Hadoop, Apache Spark, Apache Hive, or comparable platforms. Familiarity with cloud-based data platforms and services, including Amazon Web Services (AWS), Google Cloud Platform (GCP), Snowflake, Amazon Redshift, or Amazon Elastic MapReduce (EMR). Benefits that support every part of your life: At TransUnion, we design benefits to help you feel well, do well, and plan well—from day one. For Your Health : Enjoy day-one eligibility for medical, dental, and vision coverage, plus supplemental plan options. Spousal, domestic partner, and other eligible dependent coverage is available on select plans. Choose tax‑advantaged HSA and FSA accounts to make everyday care more affordable. For Your Protection : We’ve got your back with company‑paid basic life and AD&D, optional voluntary life and AD&D for you and your family, and short‑ and long‑term disability. You can also opt into a legal plan, pet insurance, and travel accident coverage. For Your Family : From adoption assistance and fertility planning coverage to caregiver support, we’re here for every chapter. Access Dependent Care FSA for possibility of an employer match, a complimentary Care@Work membership, and up to 12 weeks of paid parental leave with eligibility for a thoughtful, gradual return. For Your Future : Build toward what’s next with our 401(k) with employer match and Employee Stock Purchase Plan (ESPP). Tap financial wellness resources, career coaching, and optional long‑term care insurance to plan confidently. For You : Grow and recharge with tuition reimbursement, flexible time off for exempt employees or paid time off for nonexempt employees, up to 12 paid holidays per year, commuter benefits, employee discounts, charitable gift matching, an