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-BeingWe 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 authorization from an authorized Brown & Brown representative before submitting candidates for any publicly posted role. Any unsolicited resumes submitted to Brown & Brown or its employees become the property of Brown & Brown, and no fees will be paid for such submissions. Additional information regarding this policy can be found on our careers page. The Power To Be Yourself As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, "The Power to Be Yourself".
Summary
Location: Sandy Springs ("Atlanta"), GA, USA; Dallas, TX, USA; Daytona Beach, FL, USA
Type: Full time
