Performance Media Analyst, Display & Native

Location: Cambridge, MA / Hybrid

(This role requires working in-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 Analyst, Paid Media, you will own the day-to-day buying, optimization, and measurement of EverQuote's display and native channels. These are fast-growing channels for us, and you will be the single owner: planning, buying, optimizing, and proving out what works.

This role is ideal for someone who loves working with data, solving complex problems, and making a measurable impact. Analysts are not just a reporting function at EverQuote; they lead cross functional projects and data-driven decision-making, the core of our operational philosophy as we revolutionize how people shop for insurance.

You will report to the Manager, Paid Media, and work closely with Data Science, Marketing, and Finance. We are looking for someone with analytical ability, an interest in understanding marketplace dynamics and scaling our paid media channels.

What you’ll do

Own day-to-day buying, bidding, and pacing across display and native channels against monthly and quarterly targets
Analyze performance metrics and trends in order to identify opportunities to grow our business
Drive performance marketing and bidding through rapid testing and building scalable capabilities
Design, analyze, and present channel tests, such as creative, geo holdouts, or site experience tests Identify opportunities for improvement, design test plans and measurement frameworks, manage testing processes, and implement winning strategies.
Work directly with platform and managed-service partners, and hold them accountable to their performance commitments
Collaborate with product, engineering, data science, and compliance teams on cross-functional initiatives
Leverage your technical skills to automate operations, reporting, and modeling

What you bring to the team

Strong analytical mindset with a degree in Statistics, Mathematics, Economics, Computer Science, related field, OR demonstrated analytical and technical experience
Able to structure and break down a complex problem into its component parts
Entrepreneurial spirit with a strong sense of urgency and accountability
Proficient in data analysis and with an understanding of statistics
Capable of using data to tell a story and drive change
Curious about what actually creates value in a media channel, not just what the platform reports
Comfortable owning a number and being accountable for it
You are a team player and have the ability and desire to collaborate effectively
Excited to relocate to Boston, or already living here!

Nice to have

Native, display, or social display buying experience of any kind
Hands-on experience in any biddable media platform: Google Ads, Criteo, Microsoft Audience Network or MSN, MediaGo, Outbrain, Taboola, The Trade Desk, Amazon DSP
SQL beyond the basics, dbt, warehouse such as Snowflake or BigQuery
Performance marketing at a marketplace, lead-generation, or other business where revenue per session matters more than cost per acquisition
Insurance, fintech, or other heavily regulated category

The base salary actually 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 $80,000-$87,500.