Digital Data Product Analyst - EXL Service

OpenTalent; United States; On-site; USD 90,000 - 120,000; Full time

Job summary

OpenTalent seeks a Data Product Analyst to bridge business stakeholders, analytics, and data management. You will elicit requirements, document processes, ensure data quality, and translate findings into actionable insights to inform decisions and improve solutions.

You will collaborate with data engineers, architects, and business teams across sports, fan, and commercial domains, champion data stewardship, and support end-to-end traceability from intake to deployment.

Qualifications

• Bachelor's degree in information systems, business analysis, or related field.
• 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.

Responsibilities

• Act as the Data Subject Matter Expert to stakeholders with an understanding of data 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 that support 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 across teams.
• 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.

Skills

Data analysis

Business analysis

Stakeholder management

Requirements elicitation

Process mapping

User stories

Documentation

Education

Bachelor's degree in information systems or related field

Job description

Job Description: The Data Product Analyst serves as a critical bridge between business stakeholders, analytics teams, and data management groups. This role combines strong data analysis capabilities with core business analysis skills to ensure that data is effectively leveraged to inform strategic decision making, improve processes, and influence solution design. In addition to championing data stewardship, the Data Product Analyst plays a key role in eliciting requirements, documenting business processes, and facilitating alignment across technical and business teams.

• Responsibilities: Act as the Data Subject Matter Expert to stakeholders with an understanding of data 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 that support decision‑making.
• Elicit, document, and manage business, functional, and non‑functional requirements through techniques such as interviews, workshops, process analysis, and user story creation.
• Conduct stakeholder analysis to understand needs, roles, dependencies, and expectations across teams.
• 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.
• Qualifications: 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 to support scalable, repeatable workflows.
• Strong understanding of data stewardship principles, including data quality, lineage, metadata management, and responsible data use and the ability to adapt analytical and stewardship skills across a wide range of client use cases.
• Comfortable connecting data across multiple client systems and enriching datasets to enable new insights for sports, fan, and business stakeholders.