Data Contributor Jobs at VAST Data with Visa Sponsorship
Data Contributor roles at VAST Data sit at the intersection of data pipeline engineering and enterprise infrastructure, supporting the company's AI-native storage platform. VAST Data sponsors a range of work visas for this function, making it a practical target if you're building a U.S. career in data engineering.
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Get Access To All JobsINTRODUCTION
VAST Data is looking for a Senior Product Data Analyst to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market." - Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history.
ROLE AND RESPONSIBILITIES
VAST is seeking a Senior Product Data Analyst to join our growing analytics team. The analyst will provide strategic recommendations (not just data findings) that directly influence business decisions and company strategy. The role will partner closely with business stakeholders across business functions (Engineering, Finance, Customer Success, Product Management) to uncover insights about VAST AI Operating System product usage and customer behavior and then translate those insights and actionable recommendations that drive measurable impact. With a focus on product usage analytics of the VAST AI Operating System, the ideal candidate has a deep understanding of subscription lifecycle and specific metrics that drive SaaS growth. The analyst will define, influence, and maintain core product KPIs that inform feature adoption, user engagement, retention, and business value. This role will collaborate with stakeholders in R&D, Finance, and Customer Success to build analytics that inform decision making, increase return on investment, and improve business outcomes. The Senior Product Data Analyst will manage multiple stakeholders and present to executive and non-technical leaders. As a Senior Product Data Analyst, this position will play a key role in transforming SaaS product usage data into analytics that inform product roadmap, enable customer success, and drive lifetime value. The analyst will lead large, complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting linked to strategic business outcomes for the VAST AI Operating System. The Analyst will also support business partners in product management with cloud cost modeling and TCO analysis. The role will be responsible for both building data models behind product metrics, using SQL, and creating visually compelling dashboards in Tableau. Additional responsibilities include competitive benchmarking and service level analysis across cloud reliability, durability, availability, and performance. We are seeking an analyst that can tell stories with data and deliver actionable recommendations that our stakeholders regularly use to make change within their organizations.
Essential Duties And Responsibilities
- Strategic Leadership: Translates high-level business problems and questions into specific, measurable analytics, metrics, and visualizations
- Project Ownership: Leads analytical projects end-to-end with minimal supervision, including defining scope, methodology, execution, and delivery
- Mentorship: Provide guidance and analytical support to junior analysts. Conduct peer review of code, analysis, and reports to ensure accuracy and quality
- Data Extraction: Applies advanced SQL skills to extract and transform data, ensuring data integrity and accuracy for reporting and analysis purposes
- Strategic Analysis: Design, implement, and maintain metrics, moving beyond basic reporting to establish predictive performance indicators
- Data Visualization: Design, build, and maintain high-impact Tableau dashboards that provide real-time visibility into user behavior and product adoption
- Data Management: Collaborate with engineers to validate data pipelines, understand model outputs, and improve data integrity
- Stakeholder Management: Act as a primary liaison between the analytics team and business function for all requests related to product data and analytics
BASIC QUALIFICATIONS
- Education: Masters degree in Business, Business Analytics Operations Management, Computer Science, Data Science or a related field preferred
- Experience: 5+ years of experience as a Data Analyst with at least 2 years focused specifically on SaaS product analytics. Familiarity with SaaS financial metrics
- Programming Languages: Proven expertise in advanced SQL for data extraction and manipulation is required. Experience with Python is a plus
- Visualization Tools: Expert in Tableau for dashboard creation, data visualization, and data storytelling is required
- Analytical Skills: Proven analytical, problem-solving, and critical thinking skills
- Domain Expertise: Knowledge with SaaS product (cloud) data sources and processes required
- Travel: Minimal travel required (approximately 10% or less annually)
PREFERRED QUALIFICATIONS
- A relentless drive and a customer-first mentality are essential.
- An attention to detail that ensures accuracy and reliability in findings that leads to trust and credibility with stakeholders.
- The ability to break down complex problems, identify patterns, and derive meaningful insights from data.
- Intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
- The ability to convey complex data insights clearly and effectively to both technical and non-technical stakeholders.
- Ability to manage multiple projects and deadlines with prioritizing tasks.
- Ability to thrive in a culture of transparency and direct feedback.
INTRODUCTION
VAST Data is looking for a Senior Product Data Analyst to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market." - Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history.
ROLE AND RESPONSIBILITIES
VAST is seeking a Senior Product Data Analyst to join our growing analytics team. The analyst will provide strategic recommendations (not just data findings) that directly influence business decisions and company strategy. The role will partner closely with business stakeholders across business functions (Engineering, Finance, Customer Success, Product Management) to uncover insights about VAST AI Operating System product usage and customer behavior and then translate those insights and actionable recommendations that drive measurable impact. With a focus on product usage analytics of the VAST AI Operating System, the ideal candidate has a deep understanding of subscription lifecycle and specific metrics that drive SaaS growth. The analyst will define, influence, and maintain core product KPIs that inform feature adoption, user engagement, retention, and business value. This role will collaborate with stakeholders in R&D, Finance, and Customer Success to build analytics that inform decision making, increase return on investment, and improve business outcomes. The Senior Product Data Analyst will manage multiple stakeholders and present to executive and non-technical leaders. As a Senior Product Data Analyst, this position will play a key role in transforming SaaS product usage data into analytics that inform product roadmap, enable customer success, and drive lifetime value. The analyst will lead large, complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting linked to strategic business outcomes for the VAST AI Operating System. The Analyst will also support business partners in product management with cloud cost modeling and TCO analysis. The role will be responsible for both building data models behind product metrics, using SQL, and creating visually compelling dashboards in Tableau. Additional responsibilities include competitive benchmarking and service level analysis across cloud reliability, durability, availability, and performance. We are seeking an analyst that can tell stories with data and deliver actionable recommendations that our stakeholders regularly use to make change within their organizations.
Essential Duties And Responsibilities
- Strategic Leadership: Translates high-level business problems and questions into specific, measurable analytics, metrics, and visualizations
- Project Ownership: Leads analytical projects end-to-end with minimal supervision, including defining scope, methodology, execution, and delivery
- Mentorship: Provide guidance and analytical support to junior analysts. Conduct peer review of code, analysis, and reports to ensure accuracy and quality
- Data Extraction: Applies advanced SQL skills to extract and transform data, ensuring data integrity and accuracy for reporting and analysis purposes
- Strategic Analysis: Design, implement, and maintain metrics, moving beyond basic reporting to establish predictive performance indicators
- Data Visualization: Design, build, and maintain high-impact Tableau dashboards that provide real-time visibility into user behavior and product adoption
- Data Management: Collaborate with engineers to validate data pipelines, understand model outputs, and improve data integrity
- Stakeholder Management: Act as a primary liaison between the analytics team and business function for all requests related to product data and analytics
BASIC QUALIFICATIONS
- Education: Masters degree in Business, Business Analytics Operations Management, Computer Science, Data Science or a related field preferred
- Experience: 5+ years of experience as a Data Analyst with at least 2 years focused specifically on SaaS product analytics. Familiarity with SaaS financial metrics
- Programming Languages: Proven expertise in advanced SQL for data extraction and manipulation is required. Experience with Python is a plus
- Visualization Tools: Expert in Tableau for dashboard creation, data visualization, and data storytelling is required
- Analytical Skills: Proven analytical, problem-solving, and critical thinking skills
- Domain Expertise: Knowledge with SaaS product (cloud) data sources and processes required
- Travel: Minimal travel required (approximately 10% or less annually)
PREFERRED QUALIFICATIONS
- A relentless drive and a customer-first mentality are essential.
- An attention to detail that ensures accuracy and reliability in findings that leads to trust and credibility with stakeholders.
- The ability to break down complex problems, identify patterns, and derive meaningful insights from data.
- Intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
- The ability to convey complex data insights clearly and effectively to both technical and non-technical stakeholders.
- Ability to manage multiple projects and deadlines with prioritizing tasks.
- Ability to thrive in a culture of transparency and direct feedback.
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Get Access To All JobsTips for Finding Data Contributor Jobs at VAST Data Jobs
Align your credentials to specialty occupation standards
USCIS requires H-1B approval to rest on a direct connection between your degree and the role. For Data Contributor positions, a degree in computer science, data engineering, or a closely related field strengthens that link considerably more than a general IT background.
Target VAST Data's infrastructure-focused job listings
VAST Data's Data Contributor openings tend to emphasize distributed systems and data pipeline work. Filter your search to roles that explicitly mention VAST's platform or its AI storage architecture, since those listings signal the team most likely to move forward with sponsorship.
Understand F-1 OPT timing before you apply
If you're on F-1 OPT, apply to VAST Data with enough runway to complete the interview process and onboard before your OPT authorization expires. STEM OPT extension gives you up to 24 additional months, but your employer must be E-Verify enrolled, which VAST Data is.
Use Migrate Mate to surface active Data Contributor openings
Sponsoring roles at enterprise tech companies aren't always labeled clearly on general job boards. Use Migrate Mate to filter for Data Contributor positions at VAST Data that are open to visa sponsorship, saving you time spent on listings that won't move forward.
Prepare for technical screening before discussing visa logistics
At VAST Data, the technical bar for Data Contributor roles covers distributed storage concepts, data ingestion pipelines, and often Python or Spark. Work through these areas before your first conversation so sponsorship doesn't come up before the hiring team is already sold on you.
Confirm LCA prevailing wage compliance at the offer stage
Before signing, verify your offered salary meets the DOL prevailing wage for your work location. For Data Contributor roles in tech hubs where VAST Data operates, that threshold can be substantial, and a shortfall requires renegotiation before USCIS will approve the H-1B petition.
Data Contributor at VAST Data jobs are hiring across the US. Find yours.
Find Data Contributor at VAST Data JobsFrequently Asked Questions
Does VAST Data sponsor H-1B visas for Data Contributors?
Yes, VAST Data sponsors H-1B visas for Data Contributor roles. The company operates in enterprise AI infrastructure, and Data Contributor positions typically qualify as specialty occupations under USCIS standards given their technical requirements. Your degree field should connect directly to the role, and sponsorship is most common after a competitive interview process confirms the hiring team wants to move forward with you specifically.
Which visa types does VAST Data commonly use for Data Contributor roles?
VAST Data supports H-1B, F-1 OPT, F-1 CPT, and TN visa holders for Data Contributor positions. F-1 students often start on CPT during academic programs or OPT after graduation, then transition to H-1B through the annual lottery. TN status is available for Canadian and Mexican nationals in qualifying technical roles. Which path makes sense depends on your nationality, current status, and offer timing.
What qualifications are expected for Data Contributor roles at VAST Data?
VAST Data's Data Contributor roles sit within an AI-native storage platform, so strong fundamentals in data pipelines, distributed systems, and at least one of Python, Spark, or SQL are expected. A bachelor's degree in computer science, data engineering, or a related field is the baseline. Experience with large-scale data ingestion or cloud-native architectures tends to differentiate candidates in the interview process.
How do I apply for Data Contributor jobs at VAST Data?
You can find active Data Contributor openings at VAST Data through Migrate Mate, which filters specifically for roles open to visa sponsorship so you're not wasting time on listings that won't move forward. Once you identify a relevant role, apply directly through VAST Data's careers portal. The process typically involves a recruiter screen, technical assessment, and several rounds of interviews before an offer is extended.
How do I plan my timeline if I need H-1B sponsorship at VAST Data?
The H-1B cap-subject lottery runs once per year, with registrations opening in March and an October 1 start date if selected. That means your offer, filing preparation, and USCIS registration all need to align with that window. If you're on OPT when you receive an offer, H-1B cap-gap rules may let you continue working beyond your OPT expiration while your petition is pending, as long as it was filed before OPT ended.
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