Jobs / United States / Everquote INC
Performance Media Analyst, Display & Native
Everquote INC · 🇺🇸 Cambridge, Massachusetts, United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 8 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 6 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Everquote INC paid sponsored hires in similar roles2 certified filings for “Senior Quantitative Analyst” (Data Scientists) in MA: $90k–$90k, median $90k. Most were filed at wage level I (100%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Everquote INC
The US Department of Labor certified 8 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 6 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Everquote INC →
About the role
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, warehous