Data Analyst Lead

This is a fully remote position, open to applicants in Florida.

📋 Description

• Serve as the main point of contact for data requests from retail leadership.

• Clarify, prioritize, monitor, and fulfill data requests with the necessary urgency and quality.

• Transform business inquiries into analytical strategies, data requirements, success metrics, and executive-ready deliverables.

• Provide both recurring and ad hoc analyses on retail performance, producer productivity, book segmentation, sales activities, revenue, margins, operational trends, and leadership priorities.

• Develop narratives, visual summaries, and recommendations for leaders.

• Collaborate with BI, data engineering, and data product teams to guarantee accurate, consistent, and governed reporting.

• Turn frequent ad hoc requests into scalable dashboards, curated datasets, or standardized self-service reporting assets.

• Keep up-to-date with retail business processes, data sources, definitions, and data quality considerations.

• Guide analysts on analytical methodologies, 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.

• Proven ability to collaborate with senior business stakeholders and convert complex business inquiries into actionable analyses.

• Proficient in SQL.

• Experience with governed datasets, semantic models, reporting layers, or enterprise data warehouses.

• Familiarity with BI and visualization tools such as Power BI, Tableau, Looker, or similar platforms.

• Strong analytical, problem-solving, communication, and data storytelling abilities.

• Bachelor's degree in analytics, statistics, finance, business, computer science, information systems, or a related discipline (preferred).

• Experience in insurance brokerage, retail operations, financial services, or similarly complex matrixed environments (preferred).

• Knowledge of data governance, metric definition, data quality review, and executive dashboard quality assurance (preferred).

• Familiarity with Python, R, advanced Excel, data modeling, or cloud data platforms such as Azure, Snowflake, Databricks, or Microsoft Fabric (preferred).

🏝️ Benefits

• 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.

• Additional benefits may apply; enrollment waiting periods or eligibility criteria may apply.