Digital Data Product Analyst

EXL

Data Product Analyst serving as a bridge between stakeholders, analytics teams, and data management for strategic decision-making and data stewardship. Collaborates to elicit requirements and document business processes.

Posted 5/29/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $140,000 per yearWebsite

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

data analysisbusiness analysisproduct analyticsrequirements elicitationprocess mappinguser storiesacceptance criteriadata stewardshipSQLPython

Soft Skills

communicationcollaborationinfluence without authoritycritical thinkingstructured problem-solvingcuriosityadaptabilityconsumer-first mindsetnavigating ambiguitytailoring messages

Tools & Technologies

SnowflakeDatabricksAWSAdobe AnalyticsGoogle Analyticsdata querying toolsETL pipelinesELT pipelinescloud data platformsdata modeling

Industry Keywords

data qualitydata lineagemetadata managementclient systemsinsightsdigital environmentsD2C environmentsclickstream datacustomer engagementmedia analytics

Tech Stack

Tools & technologies

AWSCloudETLPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
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 client use cases.
Comfortable connecting data across multiple client systems and enriching datasets to enable new insights for sports, 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.
Experience working in digital and D2C environments with exposure to clickstream, customer engagement, and media analytics data, including tools such as Adobe Analytics and Google Analytics.

Benefits

Comp & perks

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits