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 aSenior 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 DeliveryPartner with stakeholders to elicit, document, and prioritize data and analytics requirementsTranslate business needs into:User storiesData definitions and mappingsAcceptance criteriaSupport design and delivery of:Data pipelinesCurated datasetsData productsParticipate in Agile delivery processes (backlog grooming, sprint planning, prioritization)Act as the voice of the customer for data teamsData Analysis & ValidationPerform hands-on data analysis using SQLValidate and reconcile data across systemsConduct root-cause analysis for data issues and discrepanciesSupport ad hoc analysis, KPI validation, and business insightsDeliver analytics for operational, financial, and strategic decision-makingData Quality & GovernanceOwn and enforce data quality standards and governance frameworksDefine and monitor:Data quality rules and KPIsData SLAs and controlsMaintain:Data dictionariesKPI catalogBusiness glossariesLineage documentationLead governance processes include:Data stewardship workflowsIssue intake, triage, and resolutionGovernance forums and auditsEnsure compliance with regulatory and data policiesTesting, Release & SDLC Execution Develop and execute:Test plansUAT and regression testingData reconciliation processesValidate datasets, transformations, and reporting outputs before releaseSupport release management and documentationEnsure adherence to a governed SDLCData Platform & Partner OversightCollaborate with data engineering teams and external partners Validate data models and transformationsEnsure delivered data assets align with business requirements and governance standardsAct as liaison between business, IT, and data partnersDocumentation & StandardsCreate and maintain comprehensive documentation for:Data modelsKPIsTransformationsData contractsEstablish and enforce:Naming conventionsCertification standardsTechnical documentation practiceChange Management & Business EnablementDrive adoption of self-service analytics and governed datasetsLead training and enablement sessions for business usersImprove data literacy across functionsSupport change management initiatives and governance adoptionCross-Functional CollaborationPartner with:Data Engineers, Data Scientists, EnterpriseFinance, Sales, Operations, MarketingIT and Architecture teamsCommunicate project status, risks, and insights to stakeholdersLead meetings, resolve issues proactively, and drive alignmentSkills & Experience to be Successful:RequiredBachelor’s degree in Analytics, Information Systems, Computer Science, or related field5–8+ years in business/data analysis, BI, or data product support rolesStrong SQL and data analysis skillsExperience with:Data platformsData warehousing and modeling conceptsHands-on experience with:Requirements gatheringAgile delivery (user stories, backlog management)Data validation and reconciliationKnowledge of:Data governance, lineage, metadataData quality frameworks and KPIsStrong communication and stakeholder management skillsPreferredExperience with Cloud Platforms focusing on Data, AI & Analytics product outcomesExposure to:ETL/ELT tools Data catalog/governance toolsExperience working with third-party data partnersIndustry experience (Insurance, Finance, or similar data-heavy environments)Familiarity with MDM concepts (customer master, deduplication, golden records)Exposure to AI/ML-ready data ecosystemsStrong analytical thinking and problem-solvingAbility to translate between business and technical teamsAttention to detail in data validation and governanceSelf-directed execution and ownership mindsetInfluence without authority across cross-functional stakeholdersTeammate 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 ReimbursementMental Health & Wellness: Free Mental Health &Enhanced Advocacy ServicesBeyond 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 StatementBrown & 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”.SummaryLocation: Sandy Springs ("Atlanta"), GA, USA; Dallas, TX, USA; Daytona Beach, FL, USAType: Full time