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.
- 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.
Skills Required
- Bachelor's degree in information systems, business analysis, or a related field
- 5+ years of experience in data analysis, business analysis, product analytics, or similar roles
- Experience delivering data products for multiple stakeholders in cross-functional environments
- Experience with requirements elicitation, process mapping, and translating business needs into technical specifications
- Experience crafting user stories, acceptance criteria, and product and data documentation
- Understanding of data stewardship, data quality, data lineage, metadata management, and responsible data use
- Experience connecting data across multiple client systems and enriching datasets
- Excellent communication skills for technical and business stakeholders
- Ability to influence without authority and align cross-functional teams
- Ability to navigate ambiguity and drive teams toward clarity and action
- Strong critical thinking and structured problem-solving skills for incomplete or evolving datasets
- Proficiency with SQL, Python, and data querying tools
- Working knowledge of data modeling, ETL/ELT pipelines, and cloud data platforms such as Snowflake, Databricks, or AWS
- Experience in digital and direct-to-consumer environments
- Exposure to clickstream, customer engagement, and media analytics data
- Experience with Adobe Analytics and Google Analytics
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
.png){kind=logo}
