Data Product Analyst: Lead Data Strategy & Insights

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

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.