Senior Business Analyst – Retail Data Products

About this role

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: • 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.

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 & Brow

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