Data Analyst, Insurance

About the position

We are seeking a Data Analyst to join our growing Analytics team in New York. Reporting to the Director of Analytics, you will play a key role in transforming data into insights that drive business decisions across Product, Sales, Marketing, and Underwriting.

This role is ideal for someone with a solid foundation in SQL and data visualization who is eager to grow their technical skills, business understanding, and impact in a fast-paced, collaborative fintech environment. You’ll work cross-functionally to uncover trends, optimize processes, and empower teams with data-driven insights that move the business forward.

Responsibilities
• Lead cross-functional projects with Product, Sales, Marketing, and Underwriting teams to understand requirements and develop reports that deliver actionable insights for key decision-makers.
• Translate and analyze complex data sets to identify key business drivers, uncover trends, and highlight opportunities to improve performance and efficiency.
• Create and maintain interactive dashboards in Power BI, integrating data from multiple sources to deliver a visual story, driving strong business decisions.
• Own ad-hoc reporting across all internal teams to ensure business strategic alignment.
• Leverage dbt to clean, structure, and transform data within the data warehouse, maintaining high-quality datasets for analysis.
• Collaborate with engineering and product teams to address evolving data needs and ensure data consistency across the organization.
• Document data definitions, reports, and structures to maintain clarity, scalability, and data integrity for all stakeholders.

Requirements
• Bachelor’s degree (or equivalent experience) in Computer Science, Information Systems, Statistics, or a related field.
• 3+ years of experience in a data analyst or business intelligence role within a Fintech or Insurance company
• Hands-on experience with data visualization tools such as Power BI, Tableau, or Looker.
• Experienced with SQL, dbt and Snowflake.
• Proven analytical and problem-solving skills, including data mining, evaluation, and visualization.
• Excellent communication and collaboration skills; ability to translate complex data into actionable insights for non-technical audiences.
• Detail-oriented and curious about how data informs decisions across product, marketing, sales, and operations.

Nice-to-haves
• Working knowledge of:
• dbt (data build tool)
• Snowflake
• Git

Benefits
• Opportunities to make an impact within a fast growing company
• Medical, dental, & vision insurance, beginning day one
• Health savings account with employer contribution
• Flexible spending accounts (healthcare, dependent care, commuter)
• 401(k)
• Generous PTO and paid holidays
• Flexible working hours
• Paid parental leave
• Company sponsored short and long term disability