[Remote] Manager- Data Product Analyst
Note: The job is a remote job and is open to candidates in USA. EXL is seeking a Data Product Analyst who will serve as a critical bridge between business stakeholders, analytics teams, and data management groups. This role involves strong data analysis capabilities combined with core business analysis skills to leverage data for strategic decision making and process improvement.
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
Skills
• Bachelor's degree in information systems, business analysis, or related fields
• 2–5 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 NFL use cases
• Comfortable connecting data across multiple NFL systems and enriching datasets to enable new insights for football, fan, and business stakeholders
• Excellent communication, with the ability to tailor messages for both technical teams (engineering, data science) and business stakeholders (club personnel, league departments)
• Champions a consumer-first mindset, consistently grounding product, data and insights decisions with a deep understanding of consumer behaviors and needs
• Collaborative mindset with the ability to influence without authority and drive alignment across cross‑functional teams
• Skilled at navigating ambiguity, asking the right clarifying questions, and moving teams toward clarity and action
• Naturally curious, with a passion for exploring new data sources, uncovering insights, and improving data quality
• Strong critical thinking and structured problem‑solving, especially when interpreting incomplete, messy, or evolving datasets
• Strong analytical toolkit leveraging SQL, Python, and data querying tools to explore, transform, and validate complex datasets that span across multiple product disciplines
• Working knowledge of data modeling, ETL/ELT pipelines, and cloud data platforms (e.g., Snowflake, Databricks, AWS) to support reliable data products
Company Overview
• EXL is a provider of Transformation and Outsourcing services to Global 1000 companies in multiple industries It was founded in 1999, and is headquartered in New York, New York, USA, with a workforce of 10001+ employees. Its website is http://www.exlservice.com.
Company H1B Sponsorship
• EXL has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now
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
Skills
• Bachelor's degree in information systems, business analysis, or related fields
• 2–5 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 NFL use cases
• Comfortable connecting data across multiple NFL systems and enriching datasets to enable new insights for football, fan, and business stakeholders
• Excellent communication, with the ability to tailor messages for both technical teams (engineering, data science) and business stakeholders (club personnel, league departments)
• Champions a consumer-first mindset, consistently grounding product, data and insights decisions with a deep understanding of consumer behaviors and needs
• Collaborative mindset with the ability to influence without authority and drive alignment across cross‑functional teams
• Skilled at navigating ambiguity, asking the right clarifying questions, and moving teams toward clarity and action
• Naturally curious, with a passion for exploring new data sources, uncovering insights, and improving data quality
• Strong critical thinking and structured problem‑solving, especially when interpreting incomplete, messy, or evolving datasets
• Strong analytical toolkit leveraging SQL, Python, and data querying tools to explore, transform, and validate complex datasets that span across multiple product disciplines
• Working knowledge of data modeling, ETL/ELT pipelines, and cloud data platforms (e.g., Snowflake, Databricks, AWS) to support reliable data products
Company Overview
• EXL is a provider of Transformation and Outsourcing services to Global 1000 companies in multiple industries It was founded in 1999, and is headquartered in New York, New York, USA, with a workforce of 10001+ employees. Its website is http://www.exlservice.com.
Company H1B Sponsorship
• EXL has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now