Data Analyst Lead

Brown & Brown is seeking a Lead Data Analyst to serve as the primary analytical partner for retail leadership. The role translates business questions into analytical requirements, delivers recurring and ad hoc insights, develops executive-ready narratives, and partners with BI and data engineering teams to support commercial performance, operational execution, and strategic decision-making.

Responsibilities:

• Act as the primary point person for retail leadership data requests, ensuring questions are clarified, prioritized, tracked, and delivered with appropriate urgency and quality
• Translate business questions into analytical plans, data requirements, success measures, and executive-ready outputs
• Deliver recurring and ad hoc analysis on retail performance, producer productivity, book segmentation, sales activity, revenue, margin, operational trends, and leadership priorities
• Create clear narratives, visual summaries, and recommendations that help leaders understand performance drivers, risks, opportunities, and next actions
• Partner with BI, data engineering, and data product teams to ensure leadership-facing reporting is accurate, consistent, and aligned to governed metric definitions
• Identify opportunities to convert repeated ad hoc requests into scalable dashboards, curated datasets, or standardized self-service reporting assets
• Maintain strong knowledge of retail business processes, data sources, definitions, and known data quality considerations
• Mentor analysts on analytical approach, storytelling, stakeholder communication, and quality assurance practices

Requirements:

• 5–8+ years of experience in data analytics, business intelligence, financial analysis, retail analytics, or a related field
• Demonstrated ability to partner with senior business stakeholders and translate complex business questions into actionable analysis
• Strong SQL skills and experience working with governed datasets, semantic models, reporting layers, or enterprise data warehouses
• Experience with BI and visualization tools such as Power BI, Tableau, Looker, or similar platforms
• Strong analytical, problem-solving, communication, and data storytelling skills
• Bachelor's degree in analytics, statistics, finance, business, computer science, information systems, or a related field
• Experience in insurance brokerage, retail operations, financial services, or similarly complex matrixed environments
• Experience with data governance, metric definition, data quality review, and executive dashboard quality assurance
• Familiarity with Python, R, advanced Excel, data modeling, or cloud data platforms such as Azure, Snowflake, Databricks, or Microsoft Fabric