About the role

Digital Data Product Analyst bridging business stakeholders, analytics teams, and data management at EXL. Delivering insights, requirements, and reliable data products for sports, fan, and business use cases.

Responsibilities

Act as the Data Subject Matter Expert to stakeholders across the end-to-end data supply chain.
Collect, clean, and analyze data from multiple sources to uncover trends, patterns, and actionable insights.
Translate analytical findings into clear, business-friendly insights supporting decision-making.
Elicit, document, and manage business, functional, and non-functional requirements through interviews, workshops, process analysis, and user story creation.
Conduct stakeholder analysis to understand needs, roles, dependencies, and expectations.
Support prioritization by assessing business value, impacts, complexity, and risk.
Ensure traceability of requirements from intake through development, testing, and deployment.
Collaborate with data engineering analysts, architects, and engineers to ensure solutions reflect business context and use cases.
Define testing acceptance criteria, support user validation, and provide structured feedback for continuous improvement.
Monitor and enhance data quality through profiling, validation, remediation, and alignment with organizational priorities.

Bachelor's degree in information systems, business analysis, or related fields.
5+ years of experience in data analysis, business analysis, product analytics, or similar roles.
Proven ability to work effectively in cross-functional environments and support the delivery of data products that serve multiple stakeholders.
Skilled at requirements elicitation, process mapping, and translating business needs into technical specifications.
Skilled in crafting user stories, acceptance criteria, and high-quality product and data documentation.
Strong understanding of data stewardship principles, including data quality, lineage, metadata management, and responsible data use.
Comfortable connecting data across multiple client systems and enriching datasets.
Excellent communication with technical and business stakeholders.
Collaborative mindset and ability to influence without authority.
Ability to navigate ambiguity and drive teams toward clarity and action.
Strong critical thinking and structured problem-solving.
Strong analytical toolkit leveraging SQL, Python, and data querying tools.
Working knowledge of data modeling, ETL/ELT pipelines, and cloud data platforms such as Snowflake, Databricks, and AWS.
Experience working in digital and D2C environments with clickstream, customer engagement, and media analytics data, including Adobe Analytics and Google Analytics.

10% bonus
Information on additional benefits available at https://www.exlservice.com/us-careers-and-benefits