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Senior Data Analyst at EverQuote

Senior Data Analyst

@

EverQuote

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Posted on: 
February 17, 2026
Status: 
Expired
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Summary of the Senior Data Analyst job at EverQuote

EverQuote is hiring a Senior Data Analyst with 0 - 3 years of experience. Based in United States - Cambridge, MA and with Hybrid ways of working. The expected salary range for this role is $83,500 - $137,500
About EverQuote

EverQuote operates a leading online marketplace for insurance shopping, connecting consumers with insurance provider customers, which includes both carriers and agents. Our vision is to be the leading growth partner for property and casualty, or P&C, insurance providers. Our results-driven marketplace, powered by our proprietary data and technology platform, is improving the way insurance providers attract and connect with consumers shopping for insurance.

Senior Data Analyst job description

What you’ll do:

Own Core Data Models: Take over the maintenance and continued development of our core Enterprise data models to ensure they accurately reflect our evolving business logic and serve our key stakeholders.

Manage Data Pipelines: Lead the end-to-end process for ingesting, matching, and troubleshooting customer disposition data, ensuring our "truth" datasets are accurate for downstream analysis & modeling.

Measure & Optimize Traffic Quality: Monitor and manage traffic quality through predictive models, performing retraining analyses and managing holdouts to ensure marketplace efficiency.

Translate Data into Insights: Act as a technical partner for stakeholders across the business, structuring complex problems and producing clear, storylined outputs (i.e. dashboards, analysis, alerting etc.) that drive decision-making.

Drive Operational Automation: Proactively identify manual, repetitive workflows and develop automated solutions to increase team efficiency and reduce operational overhead.

Support Bidding & Routing Systems: Contribute to the success of complex bidding and routing programs by providing deep-dive analysis on auction performance and predictive model improvements.

Maintain High Technical Standards: Utilize modern tools like dbt, Docker, and GitHub to write maintainable code and participate in rigorous peer reviews to ensure data quality.

Senior Data Analyst job requirements

Who you are:

SQL Power User: You have a solid foundation in SQL (Snowflake experience is a plus) and take pride in writing clean, easy-to-digest, and well-commented code.

Familiarity with Tableau, Python & Git also plusses

Analytical Problem Solver: You are able to effectively break down complex problems, structure your approach and produce clear and actionable analysis for a diverse set of stakeholders.

Systems Thinker: You are interested in how data flows through a business - understanding not just the "what," but the inputs and outputs of internal processes and predictive models and how they impact business outcomes.

Effective Communicator: You are skilled at storylining your findings to make them easily digestible, and can effectively translate between technical and non-technical audiences.

Modern Data Stack Fluent: You are eager to become an expert working with dbt, GitHub, and Docker within a collaborative production environment.

Proactive & Tenacious: You don't wait for a ticket to fix a broken process; you are proactive in flagging inefficiencies and implementing improvements.

Methodical & Detail-Oriented: You have high standards for quality control and are comfortable documenting your work thoroughly for the benefit of the wider team.

What we offer at EverQuote

The base salary range for this full-time hybrid position is $83,500-137,500 Starting salaries will generally be in the lower part of the salary range provided. Employees, depending on their specific role, level and responsibilities, may be eligible to participate in company variable compensation or equity programs.

Apply now

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EverQuote

EverQuote

is hiring

Senior Data Analyst

Website:
Posted on: 
February 17, 2026

About Our Company

EverQuote operates a leading online marketplace for insurance shopping, connecting consumers with insurance provider customers, which includes both carriers and agents. Our vision is to be the leading growth partner for property and casualty, or P&C, insurance providers. Our results-driven marketplace, powered by our proprietary data and technology platform, is improving the way insurance providers attract and connect with consumers shopping for insurance.

Job Description & Responsibilities

What you’ll do:

Own Core Data Models: Take over the maintenance and continued development of our core Enterprise data models to ensure they accurately reflect our evolving business logic and serve our key stakeholders.

Manage Data Pipelines: Lead the end-to-end process for ingesting, matching, and troubleshooting customer disposition data, ensuring our "truth" datasets are accurate for downstream analysis & modeling.

Measure & Optimize Traffic Quality: Monitor and manage traffic quality through predictive models, performing retraining analyses and managing holdouts to ensure marketplace efficiency.

Translate Data into Insights: Act as a technical partner for stakeholders across the business, structuring complex problems and producing clear, storylined outputs (i.e. dashboards, analysis, alerting etc.) that drive decision-making.

Drive Operational Automation: Proactively identify manual, repetitive workflows and develop automated solutions to increase team efficiency and reduce operational overhead.

Support Bidding & Routing Systems: Contribute to the success of complex bidding and routing programs by providing deep-dive analysis on auction performance and predictive model improvements.

Maintain High Technical Standards: Utilize modern tools like dbt, Docker, and GitHub to write maintainable code and participate in rigorous peer reviews to ensure data quality.

Requirements

Who you are:

SQL Power User: You have a solid foundation in SQL (Snowflake experience is a plus) and take pride in writing clean, easy-to-digest, and well-commented code.

Familiarity with Tableau, Python & Git also plusses

Analytical Problem Solver: You are able to effectively break down complex problems, structure your approach and produce clear and actionable analysis for a diverse set of stakeholders.

Systems Thinker: You are interested in how data flows through a business - understanding not just the "what," but the inputs and outputs of internal processes and predictive models and how they impact business outcomes.

Effective Communicator: You are skilled at storylining your findings to make them easily digestible, and can effectively translate between technical and non-technical audiences.

Modern Data Stack Fluent: You are eager to become an expert working with dbt, GitHub, and Docker within a collaborative production environment.

Proactive & Tenacious: You don't wait for a ticket to fix a broken process; you are proactive in flagging inefficiencies and implementing improvements.

Methodical & Detail-Oriented: You have high standards for quality control and are comfortable documenting your work thoroughly for the benefit of the wider team.

What we offer

The base salary range for this full-time hybrid position is $83,500-137,500 Starting salaries will generally be in the lower part of the salary range provided. Employees, depending on their specific role, level and responsibilities, may be eligible to participate in company variable compensation or equity programs.

Apply now
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