Jobs / United States / Mongodb INC
Senior Data Analyst
Mongodb INC · 🇺🇸 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 93 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 30 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 Mongodb INC paid sponsored hires in similar roles1 certified filing for “Senior Data Analyst” (Statisticians) in NY: $176k–$176k, median $176k. 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 — Mongodb INC
The US Department of Labor certified 93 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 30 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 Mongodb INC →
About the role
The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. MongoDB is seeking a Senior Analyst to support data-driven, people-focused decision making for the company. Partnering with our People team, you will transform HR and organizational data into actionable insights to help us hire the right talent, manage our overall workforce, and improve workforce effectiveness, leading to better outcomes for our people and the company. This position requires someone with strong analytical and technical skills, the ability to tell a story with data, and who is comfortable working across multiple functional areas in a fast-paced, challenging environment. This role can be based out of our NYC office or remotely in the US region. Responsibilities • Partner with People teams (business partners, recruiting, culture/talent/development, etc.) to understand their questions, turn analyses into actionable data-driven insights, and make business recommendations • Help develop and execute against roadmap for people data investments to both capture near-term value and set up the team for long-term success • Leverage understanding of statistics to conduct analyses that help People teams make quicker, more informed decisions • Write and maintain complex queries to conduct deep-dive analyses on the impact that People initiatives have on employee engagement, productivity and retention • Liaise with Data Engineering and HRIS teams to create and manage a curated central repository for people data • Design and build automated dashboards to empower stakeholders to self-serve their data and analytical needs • Prioritize and triage analytical and reporting asks from across the People team • Develop and support ongoing data governance and data quality processes • Effectively communicate analytical findings to non-technical audiences Requirements • 3+ years of hands-on analytics experience (focus on people/HR analytics preferred) • Advanced SQL skills, comfortable manipulating very large datasets • Proficient in Python or R with a strong focus on data wrangling and data analysis • Extensive experience with Tableau or another leading visualization tool is required • Experience analyzing complex people data (e.g. headcount, attrition, recruiting metrics, compensation data) strongly preferred but not required • Experience in survey design and analysis preferred • Familiarity with data architecture fundamentals and data warehousing • Proficiency with data modeling and data quality best practices • Demonstrated ability to effectively communicate and set priorities with key stakeholders at all levels of the organization • Highly collaborative and organized, with a strong attention to detail • Comfort with ambiguity and ability to work in a self-guided manner • Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment • Exposure to Modern Cloud Data Warehouses preferred About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platf