Sr Consultant- Data Analysis

TransUnion; Hyderabad; Hybrid; INR 2,000,000 - 3,600,000; Full time

Job summary

TransUnion is seeking a Sr Consultant, Data Analysis to lead advanced analytics initiatives, apply ML/AI methods, and drive data-driven decisions across global regions. You will mentor junior analysts, design dashboards, and collaborate with product, engineering, and business stakeholders in a hybrid setup.

You will optimize cloud costs, improve identity graph-related analyses, and communicate insights to leadership with impact.

Qualifications

• Master or Bachelor's degree in Data Science, CS, Statistics, Mathematics, Engineering, or related field.
• 5+ years of experience in data analytics, BI, or data science.
• Strong SQL, BigQuery, Hive, Spark; experience with Python or R.
• Experience with cloud platforms (GCP/AWS/Azure).
• Experience with data viz platforms (Power BI, Tableau, Google Data Studio, Superset).
• Strong problem-solving, stakeholder management and communication skills.

Responsibilities

• Conduct root cause analysis and solve complex business problems using advanced analytics.
• Apply statistical modeling, ML/AI methods to uncover insights and drive decisions.
• Develop data-driven recommendations and automate analytical processes.
• Design and maintain dashboards and reporting for KPIs.
• Partner with Product, Engineering, Data Science, Operations for initiatives.
• Support business with ad hoc analyses and executive communications.

Skills

Advanced Analytical Thinking

Problem Solving

Stakeholder Management

Cross-functional Collaboration

Communication

Education

Master's or Bachelor's in Data Science/CS/Statistics/Engineering

Tools

SQL

BigQuery

Hive

Spark

Python

R

Cloud platforms (GCP/AWS/Azure)

Data Visualization tools (Power BI, Tableau, Google Data Studio, Superset)

Job description

Sr Consultant, Data Analysis

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 is a global information and insights company with over 12,000 associates operating in more than 30 countries. We make trust possible by ensuring each person is reliably represented in the marketplace. We do this with a Tru™ picture of each person: an actionable view of consumers, stewarded with care. Through our acquisitions and technology investments we have developed innovative solutions that extend beyond our strong foundation in core credit into areas such as marketing, fraud, risk and advanced analytics. As a result, consumers and businesses can transact with confidence and achieve great things. We call this Information for Good® - and it leads to economic opportunity, great experiences and personal empowerment for millions of people around the world.