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Senior Business Analyst – Retail Data Products

bbinsurance.wd1.myworkdayjobs.com

Sandy Springs ("Atlanta"), GA, USA; Dallas, TX, USA; Daytona Beach, FL, USA · senior
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Sandy Springs ("Atlanta"), GA, USA; Dallas, TX, USA; Daytona Beach, FL, USA
Location
Senior
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bbinsurance.wd1.myworkdayjobs.com
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Business Analyst jobs
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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 valida

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