Senior Business Analyst - Retail Data Products

You will bridge business and technology to design and govern data products and analytics solutions that enable trusted KPIs and self-serve analytics. You'll partner with Data Product Leads, Data Engineering, and business stakeholders to translate requirements into scalable data solutions. The role focuses on data quality, governance, and data-driven decision-making across the enterprise. This is a chance to shape how data supports retail decisions at scale in a collaborative, customer-focused culture.

• Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
• Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
• Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services
• Paid Time Off and Holidays; Partner Discounts

• Elicit, document, and prioritize data and analytics requirements with stakeholders
• Translate business needs into user stories, data definitions, mappings, and acceptance criteria
• Support design and delivery of data pipelines, curated datasets, and data products
• Participate in Agile delivery processes (backlog grooming, sprint planning)
• Act as the voice of the customer for data teams
• Perform hands-on data analysis using SQL and validate data across systems
• Define and enforce data quality standards, governance, dictionaries, KPIs, and lineage
• Lead governance processes including data stewardship, issue triage, and audits
• Develop test plans, UAT, data reconciliation, and release documentation
• Collaborate with Data Engineers, Data Scientists, and business partners to ensure alignment with requirements and governance standards
• Drive adoption of self-service analytics and lead training for business users
• Create and maintain comprehensive documentation for data models, KPIs, transformations, and data contracts
• Manage change management and enablement initiatives across functions
• Communicate status and risks to stakeholders and drive alignment

• Bachelor's degree in Analytics, Information Systems, Computer Science, or related field
• 5-8+ years in business/data analysis, BI, or data product support roles
• Strong SQL and data analysis skills
• Experience with data platforms, warehousing and modeling concepts
• Hands-on experience with requirements gathering, Agile delivery, data validation and reconciliation
• Knowledge of data governance, lineage, metadata, data quality frameworks and KPIs
• Strong communication and stakeholder management skills

• Strong communication
• Stakeholder management
• Attention to detail
• SQL
• Data governance, lineage, metadata
• Data quality frameworks and KPIs