Senior Business Analyst – Retail Data Products
Listed on 2026-08-05
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IT/Tech
Data Analyst, Business Systems & Technology Analysis, Data Warehousing, IT Business Analyst
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.
HowYou 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 & ValidationPerform 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 & GovernanceOwn 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 ExecutionDevelop 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 OversightCollaborate 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 & StandardsCreate and maintain comprehensive documentation for:
Data models
KPIs
Transformations
Data contracts
Establish and enforce:
Naming conventions
Certification standards
Technical documentation practice
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 CollaborationPartner 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
PreferredExperience 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,…
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