Sr Consultant- Data Analysis

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Team Overview

Data Analysis to support advanced data analytics, Identity Graph enablement, enhancement impact analysis, cloud cost optimization, Identity AI innovation, and globalization of Identity. This role is essential to grow identity in US and in regions. Need senior associate to lead data analysis, drive approaches, train junior analysts, package results, & communicate with business. Data quality and regionalization will be impacted. 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

Advanced Data Analytics & AI

• Conduct root cause analysis and solve complex business problems using advanced analytical techniques.
• Apply statistical modeling, machine learning, and AI methodologies to uncover actionable insights.
• Develop data-driven recommendations that support faster and more effective decision-making.
• Identify opportunities to automate analytical processes and improve operational efficiency.

Identity Graph Enablement & Enhancement

• Drive initiatives to improve identity graph quality, coverage, accuracy, and precision.
• Analyze identity resolution performance and recommend enhancements to matching and linking methodologies.
• Evaluate new data assets and sources to strengthen identity graph capabilities.
• Partner with product, engineering, and data teams to implement graph optimization strategies.

Dashboard Development & Reporting

• Design, develop, and maintain dashboards and reporting solutions aligned with key business KPIs.
• Provide leadership with clear visibility into operational performance, trends, and strategic initiatives.
• Ensure data accuracy, consistency, and usability across reporting platforms.

Stakeholder Partnership & Business Support

• Deliver ad hoc analyses and insights to support business priorities and strategic decisions.
• Collaborate with cross-functional teams including Product, Engineering, Data Science, Operations, and Business stakeholders.
• Translate complex analytical findings into clear business recommendations and executive-level communications.
• Support prioritization of analytical initiatives and drive measurable business outcomes.

Cloud Cost Optimization

• Analyze cloud infrastructure utilization and spend patterns.
• Identify optimization opportunities to improve performance while reducing operating costs.
• Develop monitoring frameworks and reporting mechanisms to support cost governance.

Required Knowledge And Experiences

Qualifications and Skills Required

• Master or Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 5+ years of experience in data analytics, business intelligence, data science, or related disciplines.
• Strong proficiency in SQL, BigQuery, Hive, Spark and data analysis tools.
• Experience with cloud platforms such as Google Cloud or AWS or Azure.
• Experience with data visualization platforms such as Apache Superset, Google Data Studio, Power BI, Tableau, or similar tools.
• Hands-on experience with Python, R, or other analytical programming languages.
• Strong problem-solving, critical thinking, and stakeholder management skills.

Preferred

• Strong understanding and hands-on development experience in Ontology, Taxonomy, Semantic Web Technologies and Knowledge Graph, including ontology design, semantic modelling, metadata management, data harmonization, entity resolution, linked data, graph databases, semantic search, inference engines, and AI-powered knowledge discovery.
• Experience working with Identity Graphs, Customer Identity Resolution, or related data products.
• Exposure to machine learning, AI/GenAI, and advanced analytics methodologies.
• Knowledge of data governance, data quality frameworks, and large-scale data ecosystems.

Key Competencies

• Advanced Analytical Thinking
• Problem Solving & Root Cause Analysis
• AI & Machine Learning Application
• Data Visualization & Storytelling
• Stakeholder Management
• Business Acumen
• Cross-functional Collaboration
• Innovation & Continuous Improvement

Success Measures

• Improved identity graph coverage, accuracy, and precision.
• Delivery of actionable insights that influence strategic business decisions.
• Increased adoption and effectiveness of leadership dashboards.
• Successful execution of cloud cost optimization initiatives.
• Enhanced operational efficiency through AI-driven and automated analytical solutions.

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

Sr Consultant, Data Analysis