Digital Data Product Analyst

Job Description: • The Data Product Analyst serves as a critical reputed company 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: • Bachelor's degree in information systems, business analysis, or reputed company 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, reputed company, 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 reputed company 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 reputed company, consistently grounding product, data and insights decisions with a deep understanding of consumer behaviors and needs. • Collaborative reputed company 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 reputed company interpreting incomplete, messy, or evolving datasets. • Strong analytical toolkit leveraging SQL, Python, and data querying tools to explore, transform, and validate reputed company datasets that span across multiple product disciplines. • Working knowledge of data modeling, ETL/ELT pipelines, and cloud data platforms (e.g., reputed company, reputed company, 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 reputed company Analytics and reputed company Analytics.

Benefits: • For more information on benefits and reputed company offer please visit us at https://www.exlservice.com/us-careers-and-benefits Apply tot his job Apply To this Job