Jobs / United States / Capital One Services LLC
Data Analysis Manager - Analytics & Transformation
Capital One Services LLC · 🇺🇸 McLean, VA
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 838 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 253 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 Capital One Services LLC paid sponsored hires in similar roles1 certified filing for “Data Analysis Manager” (Data Scientists) in MA: $162k–$162k, median $162k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% 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 — Capital One Services LLC
The US Department of Labor certified 838 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 253 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 Capital One Services LLC →
About the role
Data Analysis Manager - Analytics & Transformation At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. The Enterprise Data team is focused on maximizing the value of our data ecosystem and enabling real-time, intelligent experiences built on a scalable, future ready foundation. We are a highly collaborative, cross-functional team working across Product, Technology, Design, Risk, and other partners to build a modern enterprise data ecosystem. We are looking for an exceptional and innovative Data Analysis Manager to solve complex business and product challenges across our Enterprise Data Product teams. You will lead Product Analytics to measure and improve the performance and health of our Products and Platforms, transforming complex data into actionable, AI-enabled insights that shape product strategy and drive better decisions. If you are a strategic thinker who thrives on solving complex problems and using Data and AI to influence product development, this is an opportunity to make a meaningful impact. What you’ll do: • Drive current and future strategy by leveraging your analytical skills • Assist with building and using models to test and validate data • Work with vast amounts of data in new and evolving environments • Be a part of growing and developing our brand in new and emerging markets • Leverage analytics to create a customer experience above our peers • Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers • Be a part of the full life cycle of projects and see end results • Collaborate across business units • Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority • Experience real work life balance, with little travel involved On any given day you will be: • Mining data to arrive at specific and crucial information for the organization • Identifying and implementing process, data, and reporting improvements for the organization • Working with large and complex databases containing millions to billions of records • Improving operational efficiencies and effectiveness • Conducting analysis to evaluate processes and tests • Extracting and analyzing data to gauge product offerings • Consulting on the design and implementation of new production and data storage systems • Developing and implementing strategic tests of products, initiatives and marketing materials An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply. Basic Qualifications: • Currently has, or is in the process of obtaining a: • Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or • Master’s Degre