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 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. It 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.

Core

Elements

• Data reconciliation processes
• Data contracts

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

Required Skills & Experience to be Successful

• 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…