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Senior Business Analyst – Retail Data Products
Brown & Brown Insurance. Partner with stakeholders to elicit, document, and prioritize data and analytics requirements .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, SQL, and data governance while effectively translating business needs into actionable data products and insights. Proven ability to lead data quality initiatives and collaborate with cross-functional teams to drive data literacy and compliance.
Highest-signal resume keywords
Strong SQL SkillsData AnalysisData Governance KnowledgeAgile Delivery ExperienceData Quality Frameworks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisSQLData ValidationData WarehousingData ModelingRequirements GatheringData GovernanceKPI DevelopmentETL/ELT ToolsData Catalog Tools
Soft Skills
Strong CommunicationStakeholder ManagementAnalytical ThinkingProblem-SolvingAttention to Detail
Tools & Technologies
Cloud PlatformsData PlatformsData Governance ToolsData Catalog ToolsAI/ML Ecosystems
Industry Keywords
InsuranceFinanceData-Heavy EnvironmentsMDM ConceptsData Quality Standards
Tech Stack
Tools & technologiesCloudETLSDLCSQL
About the role
Key responsibilities & impact- Partner with stakeholders to elicit, document, and prioritize data and analytics requirements
- Translate business needs into user stories, data definitions and mappings, and acceptance criteria
- Support design and delivery of data pipelines, curated datasets, and data products
- Participate in Agile delivery processes including backlog grooming, sprint planning, and 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, KPIs, data SLAs, and controls
- Maintain data dictionaries, KPI catalogs, business glossaries, and lineage documentation
- Lead 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, regression testing, and 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 documentation for data models, KPIs, transformations, and data contracts
- Establish and enforce naming conventions, certification standards, and technical documentation practices
- 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
Requirements
What you’ll need- 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
- Experience with data warehousing and modeling concepts
- Hands-on experience with requirements gathering
- Hands-on experience with Agile delivery (user stories, backlog management)
- Hands-on experience with data validation and reconciliation
- Knowledge of data governance, lineage, and metadata
- Knowledge of data quality frameworks and KPIs
- Strong communication and stakeholder management skills
- Preferred: Experience with cloud platforms focusing on Data, AI & Analytics product outcomes
- Preferred: Exposure to ETL/ELT tools
- Preferred: Exposure to data catalog/governance tools
- Preferred: Experience working with third-party data partners
- Preferred: Industry experience in Insurance, Finance, or similar data-heavy environments
- Preferred: Familiarity with MDM concepts (customer master, deduplication, golden records)
- Preferred: 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
Benefits
Comp & perks- 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
- Paid Time Off
- Holidays
- Preferred Partner Discounts