Senior Business Analyst – Retail Data Products

Brown & Brown Insurance•Daytona Beach, FL

4d•Hybrid

About The Position

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.

Requirements

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
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

Nice To Haves

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

Responsibilities

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
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
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
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
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
Create 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
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