Digital Data Product Analyst

EXL; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

EXL is seeking a Digital Data Product Analyst to bridge business stakeholders, analytics teams, and data management groups. The role combines data analysis with business analysis to inform decisions, improve processes, and influence solution design.

The analyst will champion data stewardship, elicit requirements, document processes, and align technical and business teams to drive data-driven outcomes across digital ecosystems.

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.

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.
• Collaborate with data engineering analysts, architects, and engineers to ensure solutions reflect business context and use cases.

Skills

SQL

Python

Data analysis

Stakeholder management

Education

Bachelor's degree in information systems, business analysis, or related fields

Tools

Adobe Analytics

Google Analytics

Job description

The Digital 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 Digital Data Product Analyst plays a key role in eliciting requirements, documenting business processes, and facilitating alignment across technical and business teams.

Key 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.
• 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.
• Strong analytical toolkit leveraging SQL, Python, and data querying tools to explore, transform, and validate complex datasets spanning multiple product disciplines.

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.