Jobs / United States / Carvana LLC
Strategy Analyst
Carvana LLC · 🇺🇸 Tempe, AZ
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 19 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 17 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 Carvana LLC paid sponsored hires in similar roles2 certified filings for “Senior Analyst, Customer Care, Titles” (Data Scientists) in AZ: $81k–$98k, median $89k. Most were filed at wage level I (50%) — 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 — Carvana LLC
The US Department of Labor certified 19 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 17 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 Carvana LLC →
About the role
About Carvana At Carvana, we’re changing the way people buy and sell cars. With an ambitious vision and a fundamentally different approach designed to be fun, fast, and fair, Carvana became the fastest-growing automotive retailer in history. We expanded nationally, went public on the New York Stock Exchange, sold our 1 millionth car, and reached the Fortune 500, all in just eight years. Today, with 4 million retail customers and counting, Carvana is both the fastest-growing and the most profitable public automotive retailer, and we’re just getting started. We continue to raise the bar for our customers as we tackle the enormous opportunity still ahead in the largest consumer vertical. Working here means being part of a team that embraces change, celebrates creative problem solving, and always strives to be better. At Carvana, you’ll have the opportunity to take on meaningful challenges, learn quickly, and help shape the future of automotive retail. If you’re driven to grow and make an impact as part of a collaborative team, you’ll fit right in. Learn more about what it’s like to work here from the people that already do . About the team and position As an Analyst on one of our dynamic strategy teams, you'll dive into a role where data shapes the future of car buying. Our teams use cutting-edge analytics and strategic insights to help us more efficiently make improvements to our customer experience. For example, your work might focus on recommendations for how we allocate our marketing budget, uncovering patterns to enhance our fraud detection models, determining the prices we bid on vehicles at auctions, or assessing the impact of product enhancements on our website or mobile app. You'll work with vast data sets from diverse sources, turning them into actionable strategies that drive (get it?) our business forward. Whether it's optimizing operations, enhancing customer experiences, or exploring new market opportunities, you’ll get to use your analytical skills to make business decisions and will be given the autonomy to share your insights. What you’ll be doing • Translating data into consumable, actionable narratives; regularly consulting with stakeholders including senior leadership, sharing results and strategic recommendations. • Working closely with Product, Engineering, Strategic Partnerships, and Operations to assess performance and identify and prioritize opportunities. • Exploring and segmenting data to identify and explain key drivers; design and build models, dashboards, and visualizations to support Product teams. • Designing split tests, interpreting results, and communicating the broader implications. • Taking ownership of the product track, enabling and empowering the constantly evolving customer experience that makes us leaders in our field. • Other duties as assigned. What you should have • Bachelor's degree in Statistics, Economics, Math, Computer Science, Computational Math, Econometrics, Engineering, or similar field from an accredited undergraduate institution required. • 1-3+ years of experience in analytics or quantitative practices working in data warehouse environments. • Comfort navigating and manipulating large data sets to identify trends and underlying drivers. • Familiarity with Python (or R) preferred. • Strong experience in SQL. • Experience in one or more of these areas: • A/B testing or experimentation • Business strategy or consulting • Statistical analysis using methods like regression. • Ability to thrive (and preference to work) in a dynamic, fast-paced environment with frequently changing goals and deadlines. • Demonstrated intellectual curiosity and interest in solving problems, particularly using data to help answer somewhat nebulous questions (e.g., how consumers m