Data Analysis Manager

Overview

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The Data Analysis team is responsible for evaluating new and existing data assets that can be leveraged across Trans Union products and services. The team identifies data opportunities, assesses business value, and supports product innovation to enhance customer solutions, improve product performance, and drive revenue growth. The team partners with Product, Data Acquisition, Solutions, and Technology stakeholders to maximize enterprise data value and support Trans Union's data-driven growth strategy.

This role reports to Vice President of Strategic Planning. This is a hybrid position with regular responsibilities performed virtually and in person at an assigned Trans Union office location for a minimum of two days a week.

• Lead a high-performing team responsible for evaluating new and existing data assets for use across Trans Union products and services.
• Oversee end-to-end assessment of alternative and traditional data sources, including planning, execution, coverage analysis, quality validation, and business value determination.
• Develop and standardize scalable due diligence methodologies including data profiling, coverage analysis, gap analysis, lift analysis, and simulation testing.
• Translate complex analytical findings into actionable insights that influence product strategy, business decisions, and revenue-generating opportunities.
• Partner with Product, Data Acquisition, Solutions, and Technology teams to identify and prioritize opportunities that enhance existing products and support new offerings.
• Drive enterprise data quality initiatives by identifying improvement opportunities and implementing best practices across data management processes.
• Support data onboarding, cataloging, and analysis activities within the One Tru platform.
• Establish and maintain standards for data governance, data lineage, access controls, and lifecycle management.
• Lead cross-functional initiatives that influence data investment decisions and enterprise data strategy.
• Coach, mentor, and develop team members while fostering a culture of innovation, accountability, and continuous improvement.

• 7+ years of experience in data analytics, data strategy, product analytics, data acquisition, or related disciplines with demonstrated success driving business outcomes through data.
• 3+ years of people leadership experience managing analytical or data-focused teams and establishing priorities, performance expectations, and development plans.
• Experience evaluating new and existing data assets and determining business value through analytical frameworks and stakeholder engagement.
• Strong understanding of data governance, data quality, lineage, and lifecycle management principles and their impact on business outcomes.
• Experience partnering with Product, Business, and Technology teams to translate business needs into structured data requirements and recommendations.
• Demonstrated ability to communicate complex analytical findings to executive and non-technical audiences and influence strategic decisions.

• Advanced SQL proficiency for data exploration, profiling, analysis, and validation of large datasets.
• Experience utilizing analytical and visualization tools to evaluate data assets and deliver insights to business stakeholders.
• Experience with enterprise data platforms, data cataloging solutions, and data onboarding processes.
• Strong understanding of data quality, metadata management, governance, and lineage frameworks.
• Experience applying analytical methodologies such as coverage analysis, gap analysis, lift analysis, simulation modeling, and data profiling.

• Experience evaluating alternative data assets and third-party data providers.
• Experience with in financial services, credit, fraud, identity, risk, or information services industries.
• Familiarity with One Tru or similar enterprise data platforms.
• Experience supporting vendor-facing or customer-facing discussions related to data strategy and data products.
• Knowledge of modern cloud-based data environments and enterprise-scale data architectures.
• Exposure to product management concepts and data-driven product development initiatives.
• Experience leading enterprise data quality or governance improvement programs.

Pay Scale Information: The pay range for this position is $90,000.00 - $168,750 annually. The salary reflects a reasonable estimate and may vary based on factors such as education, experience, location, and market conditions. Regular, full-time non-sales positions may be eligible for Trans Union’s annual bonus plan. Some positions may be eligible for long-term incentives and other pay programs.

Trans Union Overview

At Trans Union, we are committed to creating a positive impact and a sense of purpose within our workforce, empowering people to grow and contribute to a better future for communities and customers. We strive to…