Collaborate with data product owners, data engineers, and business stakeholders to gather and document detailed business and technical requirements for data products and reporting needs
Capture and maintain use cases, business rules, and logic for assigned data domains (e.g., fan data, marketing), ensuring alignment across teams and platforms
Lead the effort in gathering technical specifications to support the integration of various internal and external data sources, including understanding integration methods and patterns
Translate business needs into clear, structured documentation outlining data transformations, validations, standardizations, and reporting logic required to meet use cases.
Work closely with internal stakeholders to define data fulfillment requirements, including outbound data feeds, KPI reports, and dashboards
Support UAT activities, including requirement traceability, test case validation, and smoke testing to ensure successful releases
Collaborate with data engineers, data architects, QA, and governance teams to validate pipelines and ensure high data quality, consistency, and compliance across ingestion and curation processes.
Partner with Data Product Owners to help define and deliver the technical roadmap for the data platform, ensuring timely and accurate delivery of data assets
Experienced with Scrum and Agile Methodologies to coordinate global delivery teams, run scrum ceremonies, manage backlog items, and handle escalations

Proven experience in gathering, documenting, and translating business and technical requirements into actionable data solutions
Hands-on experience working in AWS environments, specifically with Redshift and data lakehouse architectures
Strong SQL skills for data profiling, validation, and analysis
Experience working with tools like Confluence and JIRA for documentation and project tracking
Master’s degree in computer science, statistics, or related discipline (preferred)
3 plus years as a data/business analyst (preferred)
Familiarity with dbt (data build tool) for modeling, testing, and documenting data transformations (preferred)
Familiar with version control and relational databases (preferred)
Self-starter with a curious mindset and the ability to make informed decisions independently (preferred)
Superior communication skills both oral and written (preferred)
Strong team player with a positive, can-do attitude who thrives in collaborative environments (preferred)
Demonstrated project and time management skills (preferred)
Analytical mindset with an eye for detail and a passion for data-driven decision making (preferred)

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

Manager – Business Analyst

Key skills