Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 20 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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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What Elasticsearch INC paid sponsored hires in similar roles1 certified filing for “Lead Data Analyst, Sales Strategy & Finance” (Data Scientists) in WA: $165k–$165k, median $165k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 20 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 Elasticsearch INC paid sponsored hires in similar roles
- 1 certified filing for “Lead Data Analyst, Sales Strategy & Finance” (Data Scientists) in WA: $165k–$165k, median $165k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
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.
About the role
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is The Role
To support our growth and enable us to scale proficiently, we are seeking a impressive Sales Ops Professional to drive all sales strategy, planning, reporting, and analysis efforts for our ESP org.
We're looking for a Sr. Analyst, RevOps to help us harness data to provide insights for our business partners, support regular business reviews, and assist in annual planning activities. This role offers the chance to play a significant part in shaping important areas that can drive growth for Elastic in the market, particularly as our organization is still developing its capabilities. If you enjoy working in a dynamic environment where your contributions can have a real impact, we’d love to hear from you.
What You Will Be Doing
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Analyze and interpret complex data sets to uncover insights that drive revenue growth. Develop data models and create dashboards to monitor key performance metrics proficiently. Identify trends and patterns in data, supporting business decisions while assisting with data validation and quality assurance to maintain data integrity.
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Develop robust revenue forecasting models based on historical data. Collaborate with sales and marketing teams to gather insights that inform forecasts. Monitor actual revenue against forecasts and adjust models as needed. Clearly communicate findings and assumptions to stakeholders to ensure alignment.
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Evaluate the current RevOps processes to identify and eliminate inefficiencies. Design and implement improvements that enhance operational efficiency. Facilitate workshops across departments to streamline workflows and establish best practices for data collection and reporting.
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Collaborate with business partners to identify their reporting and analytical needs. Facilitate cross-functional meetings to gather insights and align on RevOps initiatives. Build well-developed relationships with stakeholders for effective communication and provide training on data usage and insights interpretation.
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Create and maintain regular performance reports to track key revenue metrics. Examine the data to identify improvement areas and growth opportunities. Present actionable recommendations to stakeholders and collaborate with IT to optimize reporting tools for user needs.
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Deliver strategic insights through data analysis to fuel business growth initiatives. Clearly present findings to senior management and evaluate risks tied to revenue strategies, recommending effective mitigations. Build actionable plans that assist business partners in making informed decisions.
What You Bring
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3-5 years work experience in Sales Operations, Strategy, FP&A, Management Consulting, or similar field in SaaS organizations
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Proficiency in data analysis and interpretation techniques
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Ability to evaluate and improve RevOps processes
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Experience with data validation and quality assurance practices
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Ability to use analytical software for trend identification
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Experience in collaborating with CRM systems
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Knowledge of SaaS business metrics and performance indicators
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Proficiency with effective use of AI for operations use cases
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Demonstrated ability to
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