As a Senior Data Analyst, you will take ownership of analytical initiatives that influence key business decisions across underwriting, claims, marketing, and advertising. Working with large datasets, you will identify trends, uncover inefficiencies, and deliver data-backed recommendations to improve product strategy and competitive positioning in personal lines insurance.
Key Responsibilities
- Extract, clean, and analyze internal and external competitive data to assess market positioning
- Design and maintain statistical models to address business challenges and support decision-making
- Develop and document reusable data pipelines using SQL, Python, and DBT to ensure data quality and consistency
- Lead small-scale projects and ad hoc analyses, guiding junior analysts through methodology and interpretation
- Collaborate with subject matter experts to understand functional KPIs and translate business needs into analytical requirements
- Build interactive dashboards and reports using BI tools to communicate findings clearly to stakeholders
- Present insights and recommendations to management, supporting strategic discussions with data-driven evidence
- Version control analytical workflows using GitHub, ensuring reproducibility and team collaboration
- Improve analytical processes by identifying automation opportunities and refining data retrieval methods
- Train and mentor junior team members, fostering technical growth and knowledge sharing
Qualifications
You bring a solid foundation in quantitative analysis and real-world experience in insurance or a related analytical field. Proficiency with data tools is essential, along with the ability to explain complex results clearly.
- Bachelor’s degree in mathematics, statistics, economics, data science, engineering, or a related analytical field
- 5–7 years of experience in property and casualty insurance analytics, product development, or competitive intelligence
- Strong command of SQL (Redshift, PostgreSQL), DBT, Python, and version control via GitHub
- Experience developing and validating statistical models and interpreting algorithmic outputs
- Intermediate proficiency in MS Excel and MS Access for data manipulation and reporting
- Familiarity with SAS, SPSS, or similar statistical software is a plus
- Background in machine learning techniques is advantageous but not required
Work Environment
This role offers full flexibility to work remotely from anywhere in the United States. You’ll operate within a collaborative, inclusive culture that values continuous learning, professional growth, and diverse perspectives. The organization supports employee development through education assistance, recognition programs, and wellness resources including mental health coaching and caregiving support.
Compensation ranges from USD $85,479 to $157,868 annually, with additional bonus opportunities based on performance, referrals, and holiday incentives. Benefits include comprehensive health coverage, 401(k) with company match, generous paid time off, and pet insurance.
The company is committed to equal opportunity employment and welcomes applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
