Product Analytics Team Lead developing KPI, funnel, retention, and experimentation insights for Social Discovery Group’s global social discovery platforms. Growing into stakeholder and team leadership.
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.
Requirements
- 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.
Benefits
- 10% bonus
- Information on additional benefits available at https://www.exlservice.com/us-careers-and-benefits
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