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Brown & Brown Insurance is an independent insurance brokerage and risk management company serving individuals and businesses. Founded in 1939, it provides personal and commercial insurance, employee benefits, and national insurance programs through a network of more than 500 locations. With a workforce of more than 10,000 employees, the company operates across the finance and insurance sectors and emphasizes diversity, inclusion, and belonging in its workplace culture. Brown & Brown Insurance is publicly traded on the New York Stock Exchange under the ticker BRO and has expanded through a disciplined mergers and acquisitions strategy.
Senior Business Analyst, Retail Data Products
Senior Business Analyst supporting governed retail data products for Brown & Brown Insurance. Converts business requirements into analytics solutions while assuring enterprise data quality and governance.
Description
- Gather, document, and prioritize data and analytics needs with stakeholders
- Convert business needs into user stories, data definitions, mappings, and acceptance criteria
- Support the design and delivery of data pipelines, curated datasets, and data products
- Contribute to Agile ceremonies, backlog refinement, sprint planning, and prioritization
- Represent customer needs to data delivery teams
- Analyze data directly with SQL
- Validate and reconcile information across systems
- Investigate the root causes of data problems and discrepancies
- Perform ad hoc analysis, validate KPIs, and develop business insights
- Provide analytics that inform operational, financial, and strategic decisions
- Own data quality standards and governance frameworks
- Establish and track data quality rules, KPIs, SLAs, and controls
- Maintain data dictionaries, KPI catalogs, business glossaries, and lineage records
- Lead stewardship processes, issue intake, triage, resolution, governance forums, and audits
- Maintain compliance with applicable regulatory and data policies
- Create and carry out test plans, UAT, regression tests, and reconciliation procedures
- Check datasets, transformations, and reporting results before release
- Assist with release coordination and supporting documentation
- Follow a controlled software development lifecycle
- Work with data engineering teams and external partners
- Review data models and transformation logic
- Confirm that delivered data assets meet business needs and governance requirements
- Connect business, IT, and data stakeholders
- Document data models, KPIs, transformations, and data contracts
- Set and uphold naming conventions, certification criteria, and technical documentation practices
- Promote self-service analytics and the use of governed datasets
- Conduct training and enablement sessions for business users
- Advance data literacy across organizational functions
- Support change management and governance adoption efforts
- Collaborate with Data Engineering, Data Science, Enterprise, Finance, Sales, Operations, Marketing, IT, and Architecture teams
- Report project progress, risks, and findings to stakeholders
- Facilitate meetings, resolve issues proactively, and build alignment
Requirements
- Bachelor’s degree in analytics, information systems, computer science, or a related discipline
- At least 5–8 years of experience in business analysis, data analysis, business intelligence, or data product support
- Advanced SQL and data analysis capabilities
- Experience working with data platforms
- Understanding of data warehousing and data modeling principles
- Practical experience gathering and documenting requirements
- Practical experience with Agile delivery, including user stories and backlog management
- Practical experience validating and reconciling data
- Knowledge of data governance, lineage, and metadata practices
- Knowledge of data quality frameworks and KPI management
- Strong communication and stakeholder relationship skills
- Preferred: Experience with cloud platforms supporting Data, AI, and Analytics product outcomes
- Preferred: Familiarity with ETL or ELT tools
- Preferred: Familiarity with data catalog and governance platforms
- Preferred: Experience collaborating with third-party data providers
- Preferred: Experience in insurance, finance, or another data-intensive industry
- Preferred: Familiarity with MDM concepts such as customer masters, deduplication, and golden records
- Preferred: Exposure to AI/ML-ready data environments
- Strong analytical judgment and problem-solving ability
- Ability to bridge business and technical perspectives
- High attention to detail in data validation and governance work
- Ability to work independently with a strong ownership mindset
- Ability to influence cross-functional stakeholders without formal authority
Benefits
- Medical and prescription, dental, vision, life, and disability insurance
- Employee Stock Purchase Plan, 401(k), student loan assistance, and tuition reimbursement
- Free mental health and enhanced advocacy services
- Paid time off
- Paid holidays
- Discounts with preferred partners
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