Data Analyst, Insurance

TheGuarantors•New York, NY

8d•$115,000 - $145,000•Hybrid

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.

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

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.