Jobs / United States / Twin Health INC

Lead Marketing Data Analyst

Twin Health INC · 🇺🇸 Remote, USA · Remote

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 12 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 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 Twin Health INC paid sponsored hires in similar roles1 certified filing for “Senior Business Intelligence Analyst” (Data Scientists) in CA: $105k–$105k, median $105k. 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 — Twin Health INC

12 H-1B filings certified since Oct 2025

The US Department of Labor certified 12 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 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 Twin Health INC →

About the role

Twin Health At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health. We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives. Working here Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment. Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® . With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world. Join us as we reinvent the standard of care in metabolic health. Opportunity marketing channels: email, direct mail, and digital. This role sits at the intersection of marketing strategy, data, and technical execution. You will turn raw campaign and behavioral data into clear analysis that drives decisions at every level, from channel owners to the executive team. Right now, the first priority is to understand performance before we optimize it. In your first year you will establish trusted, consistent performance baselines across channels, find where the data does not add up, and tell us what is working and what is not. As that foundation matures, the role grows into attribution, marketing mix, and scoring models that guide budget allocation and targeting. Our data foundation is built by our data engineering team. You will be its most demanding user. You will query across sources to answer marketing questions, find the gaps and inconsistencies others miss, and tell the data team what needs to be tracked, modeled, or fixed so the next question is easier to answer. This role is for someone whose edge is judgment. You know what to ask before you write the query, you notice when an answer does not add up, and you give the marketing team a recommendation they can act on. It is a hands-on, high-impact individual contributor role for someone who works independently in a fast-moving environment and is equally comfortable digging through a warehouse and presenting to senior leaders. Responsibilities Channel Performance Measurement & Analytics • Measure and report on performance across email, direct mail, and digital — defining the right metrics, building reporting, and surfacing what is working and what is not • Own digital analytics end to end, including event tracking and tagging strategy, and partner with engineering to ensure data is captured accurately across web and app properties • Build and maintain attribution and marketing mix models to quantify channel contribution and guide budget allocation across the marketing portfolio • Analyze paid channel performance — spend efficiency, ROAS,

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Source: Greenhouse (employer board) First seen: 2026-10-15 Last confirmed: 2026-10-15 How our data works → Report this job

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