Senior Analyst, Enterprise Analytics

Reposted 15 Days Ago
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Cambridge, MA, USA
Hybrid
84K-137K Annually
Senior level
eCommerce • Insurance
EverQuote operates the largest online marketplace for insurance shopping in the US.
The Role
The Senior Analyst role involves analyzing performance metrics, leading cross-functional projects, and providing data-driven insights to drive business growth.
Summary Generated by Built In

EverQuote is seeking a Senior Analyst to be a key driver of analytical rigor and operational excellency on our Enterprise Analytics team, which directly supports ~80% of EverQuote revenue. This is an essential role designed for an analyst who has moved past entry-level basics and is ready to own the data infrastructure and tooling that powers a high-volume marketplace.

In this role, you will be responsible for mastering, maintaining and eventually owning our Enterprise data models, various business-critical data pipelines and related processes. Additionally, you’ll be constantly leveraging said data to produce actionable insights for our broad set of stakeholders across the business, acting as the bridge between our data and business-critical outcomes. As you ramp up, your expertise will be leveraged to help further optimize our automated bidding and routing systems.

This is a hybrid role that requires being in office several days a week.

The base salary range for this full-time hybrid position is $93,600-110,100 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.

 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.

Who you are:

  • Bachelors degree in Statistics, Mathematics, Economics, Computer Science, or related field.
  • 5+ years demonstrated analytical and technical experience.
  • 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.

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.

For more information, visit https://investors.everquote.com and follow on LinkedIn.

Top Skills

Python
SQL
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The Company
HQ: Cambridge, MA
440 Employees
Year Founded: 2010

What We Do

EverQuote operates the largest online marketplace for insurance shopping in the US. We make insurance shopping easy, efficient and personal, saving consumers and providers time and money. Our goal is to reshape the way consumers shop and improve the way insurance providers attract and connect with customers as insurance shopping shifts online.

Why Work With Us

We are a team-first culture that ensures every employee has the opportunity to grow and learn. EverQuote values their employee and provides a workplace environment that values heart, tenacity, data-centricity, bootstrapping and impact.

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