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Atlanta, Georgia, United States
Onsite
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 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 concepts (customer master, deduplication, golden records)
Exposure to AI/ML-ready data ecosystems
Strong analytical thinking and problem-solving
Ability to translate between business and technical teams
Attention to detail in data validation and governance
Self-directed execution and ownership mindset
Influence 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:
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 Statement
Brown & 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”.
