Location

Cambridge, MA

This role is required to report to our Cambridge office 3 days per week - Tuesday, Wednesday, and Thursday.

About Us

EverQuote is a leading AI-powered growth solutions partner for regulated property and casualty insurance entities, enabling the largest insurance carriers and thousands of agents to maximize customer acquisition across digital channels. Fueled by our proprietary data assets and our AI traffic engine, EverQuote is transforming the way providers attract and engage consumers to grow market share.

Joining our team puts you at the forefront of this transformation. You will collaborate with a group of builders to solve complex problems and reshape a massive industry. If you want to drive real-world impact and do the best work of your career, you’ve found your home. We move fast, follow the data, and hold ourselves to high standards. If that's how you work too, this is the role for you.

About The Role

As an Analyst on the Remarketing team, you will lead, drive, and execute the analytics behind EverQuote’s email and SMS remarketing program. You will use data, experimentation, and analysis to measure, optimize, and scale how we re-engage consumers and bring them back into the marketplace to get quotes and connect with carriers. Your work will directly shape which levers the program pulls and how much qualified traffic and revenue it drives.

You will report to the lead of Remarketing Analytics, and work closely with the Remarketing Program Owner, Engineering, Product, and Data Science. A strong candidate brings solid analytical and SQL skills, an eagerness to understand both the operational mechanics and the business implications of remarketing, and a habit of turning analysis into action.

What You’ll Do

Performance Analysis & Reporting

Own end-to-end measurement and reporting for the email and SMS remarketing program: daily and weekly performance management, funnel analysis, and KPI tracking.
Analyze the remarketing funnel, from sends through clicks to downstream marketplace outcomes, to explain what is driving performance and where the opportunities are.
Build and maintain reporting in internal tools and BI, and produce clear readouts for technical and non-technical stakeholders.
Monitor performance against KPIs, surface trends, risks, and opportunities, and recommend actions.

Experimentation & Measurement

Design, run, and read out A/B tests across the program (audiences, cadence, timing, message structure), with attention to statistical rigor.
Measure the true incremental impact of the program using holdouts and control groups, not raw engagement alone.
Translate results into clear, decision-ready recommendations, and help maintain a healthy testing process and backlog.

Audience Segmentation & Targeting

Define, maintain, and evolve audience segments and targeting logic for the email and SMS programs through data and analysis.
Partner with Analytics, Engineering, and Data Science to improve targeting precision, personalization, and suppression logic based on user behavior and data availability.
Monitor list health and audience quality, and drive data-backed initiatives to improve engagement and long-term performance.

Operational Execution & Quality

Support the setup, QA, and launch of email and SMS sends, making sure they are accurate, compliant, and on time.
Own quality control for your area: catch issues before launch and keep a reliable, error-free operational process.
Monitor and analyze deliverability and compliance (consent and opt-out handling, sender reputation, bounces and complaints), and help resolve issues.

Tooling, Automation & Domain Ownership

Identify recurring operational or analytical problems and build tools, automation, or processes to solve them.
Use AI tools fluently to accelerate analysis, automation, and documentation, and help the team build them into how they work.
Document your area thoroughly so knowledge does not live only in your head, and share it with the team.
Grow into the point person and domain owner for a defined slice of the remarketing program, accountable for its performance and documentation.

Cross-Functional Collaboration

Work closely with:

Remarketing Program Owner and performance marketing partners to align analysis and testing to the broader remarketing strategy.
Remarketing Analytics for planning, measurement, and prioritization.
Engineering and Platform teams on the tools, data flows, and integrations behind email/SMS execution and measurement.
Data Science, Product, and Design partners to keep targeting, timing, and measurement aligned with the broader consumer experience.

What You Bring To The Team (Qualifications)

The ideal candidate is a strong, hands-on analyst who is energized by owning the numbers behind a high-volume program. They are comfortable in SQL and in the data, they can structure an ambiguous problem and turn it into a clear recommendation, and they are curious about both why something worked and what to try next.

They care about rigor: clean analysis, well-designed tests, and measuring real impact rather than vanity metrics. They enjoy working across Analytics, Engineering, Product, and Data Science, and they are motivated by making a real program measurably better and growing into ownership of it rather than just running an existing machine.

They bring, or are eager to build quickly, familiarity with how email and SMS remarketing works operationally, and they have strong attention to detail and process discipline for analytical and operational work alike.

Around 1 to 4 years of experience in analytics, data, or another quantitative role, ideally touching marketing, lifecycle, remarketing, or another performance channel.
Proficient in SQL, comfortable pulling and manipulating data independently to answer performance questions.
Strong analytical and problem-solving skills: can structure ambiguous problems and turn data into clear, data-driven recommendations.
Solid experimentation and A/B testing fundamentals (significance, basic power), with interest in measuring incremental impact.
Comfortable working in reporting and BI tools (e.g., Tableau) and spreadsheets.
Comfortable using AI tools to accelerate your work, and eager to build them into how you analyze, report, and QA.
Strong attention to detail and process discipline across analytical and operational work.
Clear written communication for documenting analysis, experiments, and results.
Ability to prioritize and manage multiple workstreams in a fast-paced, test-and-learn environment.
Familiarity with core email/SMS concepts, or eagerness to learn the channel quickly

Nice To Have (But Not Required)

Experience in insurance, marketplace, lead-gen, or another performance-marketing or analytics environment.

The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. The base salary for this full time hybrid role is $90,000-$115,000.

In addition to base salary, our total compensation package may include participation in variable cash bonus programs, equity, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility which are designated by role. Your recruiter can provide more details about the specific salary/OTE range for your role during the hiring process.

This role is not eligible for immigration sponsorship, now or in the future. Candidates must have current, unrestricted work authorization in the United States.

EverQuote is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, genetic information, pregnancy or a pregnancy-related condition, veteran or military status, or any other protected characteristic. Reasonable accommodations are available for applicants with disabilities and for sincerely held religious beliefs or practices, upon request.

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

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Analyst, Remarketing (Email & SMS)