Jobs / United States / Capital One Services LLC
Sr. Manager- Data Analytics
Capital One Services LLC · 🇺🇸 3 Locations
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
Sr. Manager- Data Analytics 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. As Senior Manager of Digital Analytics, you will drive the overarching data analytics strategy across our flagship EASE app, Site, and key Discover integrations, bridging product optimization and marketing performance to power scalable growth. You’ll partner closely with product leaders to guide experimentation strategy and monitor A/B test performance, transforming complex behavioral data into high-impact strategic decisions. Embedded within an AI-forward culture, you will leverage cutting-edge predictive tools and automated insights to optimize seamlessly integrated experiences and shape the future of our digital roadmap. If you’re a visionary analytics leader eager to blend data storytelling and next-gen AI technology, join us in revolutionizing our digital experience! On a given day you will be: • Refining a new Enterprise-wide analytical tools validation framework • Planning and executing validation projects • Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes • Understanding technical issues in analytical tools and assessing tools risks and opportunities • Independently researching, identifying, and prototyping industry best practices for emerging analytical tools • Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations • Leveraging education, colleagues and training opportunities to develop solutions to business problems • Coaching and mentoring junior staff An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. 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. 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 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. • At least 5 years of experience performing professional data analysis work • At least 5 years of experience leading and developing with open source data technologies • At least 2 years of experience managing people Preferred Qualifications: • Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field • At least 7 years of experience in statistical or econometrics hands-on work • At least 5 years of experience manipulating and performing analysis with large data sets • At least 5 years of experience in financial services industry • At least 5 years of experience in developing statistical or econometric models • At least 5 years of experience in validating statistical or econometric models • At least 2 years of experience with data governance • At least 2 years of experience with pr