Senior Data Product Analyst — Insights & Data Stewardship

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

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.