Jobs / United States / Pitchbook Data INC
GTM Analyst
Pitchbook Data INC · 🇺🇸 Seattle, Washington, 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 10 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Apr 2026) — the step every H-1B hire needs first. USCIS also records 4 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 Pitchbook Data INC paid sponsored hires in similar roles1 certified filing for “Associate Data Analyst, Customer Support” (Operations Research Analysts) in WA: $75k–$75k, median $75k. 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 — Pitchbook Data INC
The US Department of Labor certified 10 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Apr 2026) — the step every H-1B hire needs first. USCIS also records 4 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 Pitchbook Data INC →
About the role
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: The Revenue Operations team sits at the center of PitchBook’s go-to-market engine, translating data into the insights that power strategic decisions across Sales, Marketing, Customer Success, and Finance. We are a collaborative, detail-oriented team that takes ownership of the full analytical lifecycle, from raw data to executive dashboards, and we hold ourselves to a high standard of rigor and clarity. If you care deeply about getting the numbers right and communicating them well, you will fit right in. The Revenue Operations Analyst, Analytics & Insights, owns performance reporting, business review cadences, and funnel and lifecycle analytics across PitchBook's go-to-market organization. This role partners closely with Sales, Marketing, Customer Success, and Finance to translate data into meaningful insights that inform strategy and accelerate business growth. The ideal candidate is an intellectually curious, insights-driven analyst who enjoys asking questions, challenging assumptions, and uncovering opportunities within complex datasets. Bringing strong SQL skills, experience working with large datasets, and an enthusiasm for leveraging AI and automation to enhance analytics and decision-making. Primary Job Responsibilities: • Significant experience writing SQL queries to connect and clean large datasets, define KPIs, and provide leadership with accurate data to make informed decisions • Own weekly and monthly sales performance reporting covering pipeline, attainment, and pacing; run and maintain the WBR/MBR/QBR process end-to-end, including narrative framing and exec-ready dashboards • Build and maintain executive performance dashboards in Tableau or Power BI across the full GTM funnel and post-sale lifecycle, ensuring consistent KPI definitions and reporting standards • Conduct marketing funnel analytics, campaign ROI measurement, lead routing and distribution analysis, and territory design and capacity planning analytics across global offices • Partner with Customer Success on customer lifecycle, retention, and expansion analytics; build and interpret reporting from Salesforce, Marketo, and Gong to surface clear, actionable insights • Facilitate the forecasting process across Sales, Marketing, Customer Success, and Finance, owning cadence, inputs, scenario reviews, and translation into the business narrative • Proactively generate insights indexed to business impact, surfacing what the business should be asking before it thinks to ask • Validate hypotheses raised by operational, field, or finance leaders, delivering rigorous analysis that confirms, challenges, or reframes the original question • Champion data quality, governance, and KPI consistency across revenue systems; identify opportunities for automation and advanced analytics in partnership with data science counterparts • Collaborate cross-functionally with RevOps, GTM Operations, Marketing Ops, and business stakehold