• Lead the development and validation of predictive and machine-learning models for business needs • Create and leverage models, inferential statistics, and prescriptive analysis • Recommend solutions based on understanding of the context, connections, and conclusions • Reviews deliverables; proactively coaches others on approach and work product • Make continuous improvements to data procedures, including data efficiency

Role Description The Data Strategy team at TransUnion partners with clients, media agencies, and internal cross-functional teams to enable data-driven decision-making through scalable data solutions. This role reports to the Manager of Data Strategy. This is a remote position which may require occasional in-person attendance at work-related events at the discretion of management. - Serve as a technical data liaison between clients and internal service teams to ensure alignment on data requirements and delivery. - Gather and translate business and technical requirements into detailed data specifications that support client use cases. - Lead discussions with client data owners and media agency partners to identify relevant data sources and systems. - Acquire, integrate, and validate data from multiple sources using internal tools and cloud-based platforms, ensuring high data quality. - Manage multiple concurrent data workflows across diverse client accounts, ensuring timely delivery and accuracy. - Investigate and resolve data issues such as missing fields, mismatches, and inconsistencies, providing actionable insights. - Develop and maintain database curation and data stack solutions for 80+ global clients, handling 100 to 2,500 data feeds per client. - Drive operational efficiencies by optimizing data processes and solving complex technical challenges across systems. - Collaborate with data science, consulting, and product teams to deliver integrated data solutions. - Communicate clearly with stakeholders by providing status updates, documenting work, and escalating blockers when needed. Qualifications - Structured Data Concepts (tables, joins, schemas, data flows): Essential for designing accurate data models and translating requirements into technical specifications. - Data Management & ETL (Extract, Transform, Load) frameworks: Critical for understanding how data moves across systems and ensuring data quality across pipelines. - Marketing/Agency/Data Integration experience (1–3 years): Provides context for client needs and enables effective communication with stakeholders in marketing and analytics environments. - Bachelor’s degree in an analytics-related field (Business, Marketing, Economics, Statistics, Computer Science) or equivalent experience: Ensures foundational analytical and technical knowledge. - Data quality and diagnostic skills: Necessary to identify issues, troubleshoot datasets, and propose scalable solutions. Requirements - SQL (Structured Query Language): Required for querying, manipulating, and analyzing structured datasets. - Data Visualization tools (Excel, Power BI, Tableau, Superset, PowerPoint): Used to communicate insights and data trends to stakeholders. - APIs (Application Programming Interfaces) & JSON (JavaScript Object Notation): Needed for integrating and exchanging data between systems. - Data investigation and validation processes: Essential for identifying anomalies and ensuring data integrity. - Workflow and documentation tools (Jira, Confluence): Required for tracking work and documenting processes. Preferred Skills - Python or scripting for data manipulation: Helps automate workflows and improve efficiency. - Process improvement mindset: Enables continuous optimization of data workflows. - Experience working with ambiguous requirements: Supports adaptability in complex environments. - Advanced diagnostic and problem-solving skills: Accelerates issue resolution. - Experience creating technical documentation: Ensures consistency and scalability across projects. Company Description 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.

• Own the development, management, and optimization of audience segments using the Adobe Experience Platform (AEP) • Design and implement scalable processes and best practices for audience development and marketing automation • Lead platform configuration and integration efforts, ensuring seamless connectivity across systems and data sources • Serve as a strategic consultant to marketing partners, providing guidance on database marketing capabilities, segmentation logic, and historical insights • Collaborate with IT and business stakeholders to ensure campaign data acquisition, extraction, and testing across proprietary and industry-standard platforms • Continuously evaluate and enhance campaign operational processes to improve efficiency, usability, and end-to-end performance • Oversee the transition of campaigns from legacy platforms to Adobe Experience Platform, ensuring continuity and data integrity

Role Description Working under occasional guidance in the Department of Enterprise Analytics, responsible for all aspects of analytics to meet the needs of our partners. Provides a single point of contact for our partners in defining scope and objectives. Follows the analytics problem-solving methodology. Develops work plans to ensure analytics are completed accurately and on time. Gathers and integrates appropriate data, conducts analyses, chooses appropriate output/visualization, and communicates findings effectively. Follows data stewardship and data governance practices to ensure all data assets are of the highest quality. Adheres to the highest quality standards and maintains appropriate documentation. Key Responsibilities - Defines the appropriate problem, identifies the data needed to solve the problem, gathers and transforms the data into the appropriate form. - Develops high quality analyses and visualizations and communicates the results and recommendations clearly and competently to our partners. - Ensures timely completion of all analytics projects and builds trusting relationships with partners and stakeholders. - Maintains appropriate documentation (e.g., processes, analytics design, measure definitions, data integration). - Follows best practices of data stewardship/data governance including managing metadata and consistently performing quality assurance to ensure accuracy throughout the process. - Follows best practice guidelines set by Enterprise Analytics for each of the 6 technical capabilities. - The responsibilities listed are a general overview of the position and additional duties may be assigned. Technical Capabilities - Stakeholder Engagement (Novice): Builds trusting relationships with stakeholders. Understands all aspects of our partner’s business including operational workflows, performance measures, and working relationships. Proactively keeps partners informed of progress on projects. Takes leadership role on analytics projects. Good team player and shows initiative. - Data Acquisition (Novice): Successfully determines data needs based on the problem being solved and identifies appropriate source systems. Writes code that is effective, efficient, and readable with appropriate comments for others to be able to follow. Transforms and structures data accurately. Applies quality assurance (QA) practices and methods. Continues to learn and innovate with new tools and methods, and shares knowledge back with the team. - Data Analysis (Intermediate): Accurately analyzes data to effectively answer our partners’ questions. Adopts new tools, and methods, and uses creativity to produce the desired output. Takes full ownership of the quality of analysis and applies quality assurance (QA) practices and methods. - Data Stewardship and Governance (Intermediate): Understands data stewardship and governance concepts and implements current practices. Understands downstream impacts of changes to data sources, develops and maintains complete metadata for all data assets, tables, and fields. Establishes and maintains data sources of truth and key performance indicators (KPIs). Works with analytics consumers to improve ability to understand KPIs and improve the use and quality of data at the organization. - Communication (Novice): Communicates findings and recommendations in a concise, logical, and easy-to-follow manner. Engages the audience, makes effective use of questions, and practices active listening techniques. Presents written information using a professional writing style and maintains a good balance between detail and synthesis. Adapts communication and presentation delivery to the audience. Leads effective meetings by ensuring appropriate communication before, during, and after all meetings. Selects the right visualization based on the audience and type of question asked and tells stories with data in compelling ways. - Planning (Intermediate): Effectively manages multiple projects concurrently and collaborates with other teams as needed. Creates project plans, tracks progress against plan, actively communicates any potential issues or changes, and documents effectively. Proactively identifies barriers and risks for projects and works to mitigate them. Adapts well with changing requirements and responds well to feedback provided from leaders, partners, and peers. Core Accountabilities - Organizational Impact: Executes job responsibilities with the understanding of how output would affect and impact other areas related to own job area/team with occasional guidance. - Problem Solving/Complexity of Work: Analyzes moderately complex problems using technical experience and judgment. - Breadth of Knowledge: Has expanded knowledge gained through experience within a professional area. - Team Interaction: Provides informal guidance and support to team members. Core Capabilities - Supporting Colleagues: Develops Self and Others, Builds and Maintains Relationships, Communicates Effectively. - Delivering Excellent Services: Serves Others with Compassion, Solves Complex Problems, Offers Meaningful Advice and Support. - Ensuring High Quality: Performs Excellent Work, Ensures Continuous Improvement, Fulfills Safety and Regulatory Requirements. - Managing Resources Effectively: Demonstrates Accountability, Stewards Organizational Resources, Makes Data Driven Decisions. - Fostering Innovation: Generates New Ideas, Applies Technology, Adapts to Change. Position Qualifications - Work Experience: 1 year of relevant work experience. - Education: Bachelor's degree (Required). Benefits This role offers the opportunity to make a meaningful impact within Vanderbilt Health, supported by a comprehensive benefits package which may include health, disability, retirement and/or wellness offerings to enhance your well-being and professional growth. Company Description Vanderbilt Health is committed to fostering an environment where everyone has the chance to thrive and is committed to the principles of equal opportunity. EOE/Vets/Disabled.