Digital Data Product Analyst

EXL; United States; On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

Dental insurance

401(k)

Paid maternity leave

Job summary

EXL is seeking a Data Product Analyst to bridge business stakeholders, analytics teams, and data management. You will elicit requirements, document processes, and translate insights into actionable business outcomes that inform strategy and solution design.

You will collaborate with data engineers, architects, and product teams to ensure data quality, governance, and scalable data platforms, including cloud data services. Strong SQL, Python, and analytics skills are essential.

Qualifications

• Bachelor's degree in information systems, business analysis, or related field.
• 5+ years in data analysis, business analysis, or product analytics.
• Experience delivering data products across stakeholders.

Responsibilities

• Act as SME for data across end-to-end data supply chain.
• Collect, clean, analyze data from multiple sources to uncover insights.
• Translate findings into business-friendly insights to inform decisions.
• Elicit, document, manage requirements with interviews and workshops.
• Collaborate with data engineers, architects, and engineers to ensure solutions reflect business context.
• Define testing criteria and support user validation.
• Monitor and improve data quality aligned with priorities.

Skills

Requirements elicitation

Process mapping

SQL

Python

Data storytelling

Stakeholder management

Cross-functional collaboration

Data governance

Cloud data platforms

Education

Bachelor's degree in information systems or related field

Tools

Adobe Analytics

Google Analytics

Snowflake

Databricks

AWS

Job description

Our passion at EXL is enabling organizations to achieve a measurable, competitive advantage through Data Management. We partner with our clients to design and implement scalable, accessible, and innovative solutions. Our goal is to make sense of data to drive client’s business forward through data strategy, data governance and building cloud data platforms. EXL is a leading data analytics and digital operations and solutions company that partners with clients to improve business outcomes and unlock growth. By bringing together deep domain expertise with robust data, powerful analytics, cloud, artificial intelligence (“AI”) and machine learning (“ML”), we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on driving faster decision‑making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 44,500+ strong, with more than 50 offices spanning six continents.

About the Role

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

Required Skills

• Skilled at requirements elicitation, process mapping, and translating business needs into technical specifications and scalable data solutions
• Experience supporting the full product and data delivery lifecycle, including requirements gathering, roadmap support, delivery oversight, testing/UAT, launch, hypercare, and ongoing quality monitoring
• 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, governance, and responsible data use, with the ability to champion data development initiatives that align with stakeholder needs
• Experience working across multiple data touchpoints and varying integration patterns within complex digital ecosystems, with the ability to connect and enrich datasets across platforms and systems
• Strong understanding of digital and D2C ecosystems, including customer engagement, clickstream, and media analytics data, with exposure to tools such as Adobe Analytics and Google Analytics
• Ability to act as a data product leader by balancing stakeholder requirements, technical feasibility, and long‑term platform scalability
• Excellent communication skills, with the ability to tailor messaging for both technical teams (engineering, data science) and business stakeholders (club personnel, league departments)
• Strong stakeholder management and collaboration skills, with the ability to influence without authority and drive alignment across cross‑functional teams
• Champions a consumer‑first mindset, consistently grounding product, data, and insights decisions in a deep understanding of consumer behaviors and needs
• Skilled at navigating ambiguity, asking the right clarifying questions, and driving teams toward clarity, execution, and measurable outcomes
• Naturally curious, with a passion for exploring new data sources, uncovering insights, and continuously improving data quality and processes
• Strong critical thinking and structured problem‑solving skills, especially when working with incomplete, messy, or evolving datasets
• Strong analytical toolkit leveraging SQL, Python, and data querying tools to explore, transform, and validate complex datasets spanning multiple product disciplines
• Working knowledge of data modeling, ETL/ELT pipelines, APIs, integration frameworks, and cloud data platforms (e.g., Snowflake, Databricks, AWS) to support reliable and scalable data products
• Medical insurance, Vision insurance, Dental insurance, 401(k), Paid maternity leave, Paid paternity leave