Senior Business Analyst – Retail Data Products

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers. Brown & Brown is seeking a  Senior Business Analyst – Retail Data Products to join our growing team in Atlanta, GA, Dallas, TX, or Daytona Beach, FL .    This role will support the design, delivery, governance, and quality of enterprise data products and analytics solutions. This role bridges business and technology, translating requirements into scalable data solutions while ensuring high data quality, trusted KPIs, and governed, self-service analytics. The analyst will partner closely with Data Product Leads, Data Engineering, business stakeholders, and third-party partners, playing a critical role in enabling data-driven decision-making across the enterprise.   How You Will Contribute:     Requirements & Data Product Delivery   Partner with stakeholders to elicit, document, and prioritize data and analytics requirements   Translate business needs into:   User stories   Data definitions and mappings   Acceptance criteria   Support design and delivery of:   Data pipelines   Curated datasets   Data products   Participate in Agile delivery processes (backlog grooming, sprint planning, prioritization)   Act as the voice of the customer for data teams   Data Analysis & Validation   Perform hands-on data analysis using SQL   Validate and reconcile data across systems   Conduct root-cause analysis for data issues and discrepancies   Support ad hoc analysis, KPI validation, and business insights   Deliver analytics for operational, financial, and strategic decision-making   Data Quality & Governance   Own and enforce data quality standards and governance frameworks   Define and monitor :   Data quality rules and KPIs   Data SLAs and controls   Maintain:   Data dictionaries   KPI catalog   Business glossaries   Lineage documentation   Lead governance processes include:   Data stewardship workflows   Issue intake, triage, and resolution   Governance forums and audits   Ensure compliance with regulatory and data policies   Testing, Release & SDLC Execution     Develop and execute:   Test plans   UAT and regression testing   Data reconciliation processes   Validate datasets, transformations, and reporting outputs before release   Support release management and documentation   Ensure adherence to a governed SDLC   Data Platform & Partner Oversight   Collaborate with data engineering teams and external partners   Validate data models and transformations   Ensure delivered data assets align with business requirements and governance standards   Act as liaison between business, IT, and data partners   Documentation & Standards   Create and maintain comprehensive documentation for:   Data models   KPIs   Transformations   Data contracts   Establish and enforce:   Naming conventions   Certification standards   Technical documentation practice   Change Management & Business Enablement   Drive adoption of self-service analytics and governed datasets   Lead training and enablement sessions for business users   Improve data literacy across functions   Support change management initiatives and governance adoption   Cross-Functional Collaboration   Partner with:   Data Engineers, Data Scientists, Enterprise   Finance, Sales, Operations, Marketing   IT and Architecture teams   Communicate project status, risks, and insights to stakeholders   Lead meetings, resolve issues proactively, and drive alignment   Skills & Experience to be Successful:   Required   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   Data warehousing and modeling concepts   Hands-on experience with:   Requirements gathering   Agile delivery (user stories, backlog management)   Data validation and reconciliation   Knowledge of:   Data governance, lineage, metadata   Data quality frameworks and KPIs   Strong communication and stakeholder management skills   Preferred   Experience with Cloud Platforms focusing on Data, AI & Analytics product outcomes   Exposure to:   ETL/ELT tools   Data catalog/governance tools   Experience working with third-party data partners   Industry experience (Insurance, Finance, or similar data-heavy environments)   Familiarity with MDM concepts (customer master, deduplication, golden records)   Exposure to AI/ML-ready data ecosystems   Strong analytical thinking and problem-solving   Ability to translate between business and technical teams   Attention to detail in data validation and governance   Self-directed execution and ownership mindset   Influence without authority across cross-functional stakeholders   Teammate Benefits & Total Well-Being We go beyond standard benefits, focusing on the total well-being of our teammates, including: 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 Beyond Benefits : Paid Time Off, Holidays, Preferred Partner Discounts and more.  Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations. Recruiting Vendor Disclosure Statement Brown & Brown does not accept unsolicited resumes from external recruiters, recruitment vendors or employment agencies ("Recruiting Vendors"). Recruiting Vendors must have a valid written agreement and received prior written autho