## Senior Business Analyst – Retail Data ProductsApplyremote type: Hybrid Workinglocations: Sandy Springs ("Atlanta"), GA, USA: Dallas, TX, USA: Daytona Beach, FL, USAtime type: Full timeposted on: Posted Yesterdayjob requisition id: R26\_ 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 requirementsTranslate business needs into:* User stories* Data definitions and mappings* Acceptance criteriaSupport design and delivery of:* Data pipelines* Curated datasets* Data productsParticipate 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 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-making**Data Quality & Governance**Own and enforce data quality standards and governance frameworksDefine and monitor:* Data quality rules and KPIs* Data SLAs and controlsMaintain:* Data dictionaries* KPI catalog* Business glossaries* Lineage documentationLead governance processes include:* Data stewardship workflows* Issue intake, triage, and resolution* Governance forums and auditsEnsure compliance with regulatory and data policies**Testing, Release & SDLC Execution**Develop and execute:* Test plans* UAT and regression testing* Data reconciliation processesValidate datasets, transformations, and reporting outputs before releaseSupport release management and documentationEnsure adherence to a governed SDLC**Data Platform & Partner Oversight**Collaborate with data engineering teams and external partnersValidate data models and transformationsEnsure delivered data assets align with business requirements and governance standardsAct as liaison between business, IT, and data partners**Documentation & Standards**Create and maintain comprehensive documentation for:* Data models* KPIs* Transformations* Data contractsEstablish and enforce:* Naming conventions* Certification standards* Technical documentation practice**Change Management & Business Enablement**Drive adoption of self-service analytics and governed datasetsLead training and enablement sessions for business usersImprove data literacy across functionsSupport change management initiatives and governance adoption**Cross-Functional Collaboration**Partner with:* Data Engineers, Data Scientists, Enterprise* Finance, Sales, Operations, Marketing* IT and Architecture teamsCommunicate project status, risks, and insights to stakeholdersLead meetings, resolve issues proactively, and drive alignment**Skills & Experience to be Successful:** **Required**Bachelor’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 platforms* Data warehousing and modeling conceptsHands-on experience with:* Requirements gathering* Agile delivery (user stories, backlog management)* Data validation and reconciliationKnowledge of:* Data governance, lineage, metadata* Data quality frameworks and KPIsStrong communication and stakeholder management skills**Preferred**Experience 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 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.*
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