H-1B Visa Principal Data Analyst Jobs
Principal Data Analyst jobs qualify as H-1B visa specialty occupations because the role requires at least a bachelor's degree in statistics, computer science, mathematics, or a directly related field. Sponsoring employers file a Labor Condition Application with DOL and an I-129 petition with USCIS, covering your status for up to three years.
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Get Access To All JobsINTRODUCTION
Our mission at HubSpot is to help millions of organizations grow better. As Principal, Marketing Measurement, you'll lead the evolution of how HubSpot measures and optimizes its marketing measurement and investments — building the measurement infrastructure and decision-making framework that enables confident capital allocation decisions across organic, paid, owned, and earned channels.
HubSpot operates a significant and growing marketing presence across organic channels, paid media, a robust content and media network, and earned and owned activations. As we scale through brand-led, multi-channel demand creation, we're building the capability to understand what drives incremental growth across all marketing levers and translate those insights into smarter investment decisions. This role leads that work, working closely with cross functional teams across Marketing, Finance, Data Science, Engineering, and Product — combining marketing mix modeling, incrementality testing, multi-touch and modernized attribution, and predictive forecasting into a unified measurement capability that serves Marketing and Finance alike.
This is a high-visibility role for someone who combines deep measurement expertise with the strategic instincts to connect analytical rigor to the decisions that matter most.
ROLE AND RESPONSIBILITIES
Measurement Strategy & Attribution
- Deep understanding of full funnel Marketing strategy and techniques.
- Own and evolve the marketing measurement framework across organic, paid, owned, Brand, LLM/AEO, media/creators, and earned channels — establishing a single, consistent view of how marketing investment drives revenue.
- Own and develop how marketing tracks full funnel attribution across the buyer journey across all channels and touchpoints.
- Modernize attribution methodology — moving beyond last-click toward view-based, multi-touch, and buying-group-aware models that capture the full influence of marketing activity on the path to revenue.
- Develop executive-ready reporting and performance narratives that connect marketing investment to revenue outcomes, enabling capital allocation decisions with confidence.
Marketing Mix Modeling & Incrementality
- Build and operate Marketing Mix Models that quantify the marginal ROI of investment across channels — enabling evidence-based scenario planning and capital allocation between paid, owned, and earned.
- Establish and scale an incrementality testing program — designing holdout methodology, running causal experiments, and translating results into investment recommendations.
- Partner with Marketing and Finance leadership to move budget conversations from channel-by-channel negotiation toward joint, evidence-based investment planning.
Predictive Analytics & Forecasting
- Build and operationalize predictive LTV models that connect upstream marketing signals to downstream revenue outcomes — enabling spend decisions grounded in expected long-term customer value.
- Develop multi-horizon revenue forecasting capabilities that translate real-time marketing indicators into expected ARR outcomes, giving Marketing and Finance a continuously updated view of performance.
- Drive the build vs. buy roadmap for predictive tooling — evaluating vendor solutions, managing external partnerships, and defining where proprietary models create lasting advantage.
Data Science Leadership
- Lead and direct data science execution toward measurement priorities — maintaining the technical depth to design experiments, validate methodology, and hold quality bar on outputs.
- Advance AI and machine learning applications across measurement, attribution, targeting, and forecasting to improve the speed and accuracy of marketing decision-making.
BASIC QUALIFICATIONS
What You'll Bring
Required Qualifications
- 10+ years in marketing analytics or marketing data science.
- Deep understanding of Marketing strategy and how it's developed and executed on to inform and build the right measurement approach behind it.
- Deep expertise in Marketing Mix Modeling and incrementality testing — hands-on experience building or operationalizing these capabilities and connecting outputs to capital allocation decisions.
- Experience building predictive LTV models and multi-horizon revenue forecasting — connecting leading marketing indicators to expected downstream revenue outcomes.
- Experience building or implementing multi-touch attribution models to measure impact across a B2B SaaS buyer's journey.
- Track record of building a trusted Finance partnership — developing shared measurement frameworks that drive budget decisions, not just reporting.
- Strong technical fluency — able to design experiments, validate data science outputs, and direct execution teams effectively.
- Experience with modern, multi-touch attribution approaches across paid, owned, and earned channels, including view-based and buying-group-level measurement.
- Excellent executive communication skills — able to translate complex causal findings into clear investment recommendations for non-technical stakeholders.
Nice-to-Have Qualifications
- Marketing measurement and leadership experience at a B2B SaaS or high-growth technology company.
- Data science background.
- Experience with Brand and LLM/AEO/GEO measurement techniques and attribution.
- Background in or close partnership with paid media strategy and bidding optimization.
- Experience evaluating and managing external measurement vendors — MMM platforms, incrementality tools, or LTV providers.
- Familiarity with B2B buying-group measurement across complex, multi-stakeholder sales cycles.
Key Qualities We'll Test For
- Measurement depth and methodology rigor
- Finance partnership and decision-making impact
- Predictive analytics and forecasting capability
- Strategic operating model and build vs. buy judgment
- Technical fluency and data science collaboration
- Executive communication and strategic storytelling
At HubSpot, we value both flexibility and connection. Whether you're a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you'll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.
If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements.
ABOUT HUBSPOT
HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers.
At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.
We're building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.
Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.
If you need accommodations or assistance due to a disability, please reach out to us using this form.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.
India Applicants: link to HubSpot India's equal opportunity policy here.
HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.
INTRODUCTION
Our mission at HubSpot is to help millions of organizations grow better. As Principal, Marketing Measurement, you'll lead the evolution of how HubSpot measures and optimizes its marketing measurement and investments — building the measurement infrastructure and decision-making framework that enables confident capital allocation decisions across organic, paid, owned, and earned channels.
HubSpot operates a significant and growing marketing presence across organic channels, paid media, a robust content and media network, and earned and owned activations. As we scale through brand-led, multi-channel demand creation, we're building the capability to understand what drives incremental growth across all marketing levers and translate those insights into smarter investment decisions. This role leads that work, working closely with cross functional teams across Marketing, Finance, Data Science, Engineering, and Product — combining marketing mix modeling, incrementality testing, multi-touch and modernized attribution, and predictive forecasting into a unified measurement capability that serves Marketing and Finance alike.
This is a high-visibility role for someone who combines deep measurement expertise with the strategic instincts to connect analytical rigor to the decisions that matter most.
ROLE AND RESPONSIBILITIES
Measurement Strategy & Attribution
- Deep understanding of full funnel Marketing strategy and techniques.
- Own and evolve the marketing measurement framework across organic, paid, owned, Brand, LLM/AEO, media/creators, and earned channels — establishing a single, consistent view of how marketing investment drives revenue.
- Own and develop how marketing tracks full funnel attribution across the buyer journey across all channels and touchpoints.
- Modernize attribution methodology — moving beyond last-click toward view-based, multi-touch, and buying-group-aware models that capture the full influence of marketing activity on the path to revenue.
- Develop executive-ready reporting and performance narratives that connect marketing investment to revenue outcomes, enabling capital allocation decisions with confidence.
Marketing Mix Modeling & Incrementality
- Build and operate Marketing Mix Models that quantify the marginal ROI of investment across channels — enabling evidence-based scenario planning and capital allocation between paid, owned, and earned.
- Establish and scale an incrementality testing program — designing holdout methodology, running causal experiments, and translating results into investment recommendations.
- Partner with Marketing and Finance leadership to move budget conversations from channel-by-channel negotiation toward joint, evidence-based investment planning.
Predictive Analytics & Forecasting
- Build and operationalize predictive LTV models that connect upstream marketing signals to downstream revenue outcomes — enabling spend decisions grounded in expected long-term customer value.
- Develop multi-horizon revenue forecasting capabilities that translate real-time marketing indicators into expected ARR outcomes, giving Marketing and Finance a continuously updated view of performance.
- Drive the build vs. buy roadmap for predictive tooling — evaluating vendor solutions, managing external partnerships, and defining where proprietary models create lasting advantage.
Data Science Leadership
- Lead and direct data science execution toward measurement priorities — maintaining the technical depth to design experiments, validate methodology, and hold quality bar on outputs.
- Advance AI and machine learning applications across measurement, attribution, targeting, and forecasting to improve the speed and accuracy of marketing decision-making.
BASIC QUALIFICATIONS
What You'll Bring
Required Qualifications
- 10+ years in marketing analytics or marketing data science.
- Deep understanding of Marketing strategy and how it's developed and executed on to inform and build the right measurement approach behind it.
- Deep expertise in Marketing Mix Modeling and incrementality testing — hands-on experience building or operationalizing these capabilities and connecting outputs to capital allocation decisions.
- Experience building predictive LTV models and multi-horizon revenue forecasting — connecting leading marketing indicators to expected downstream revenue outcomes.
- Experience building or implementing multi-touch attribution models to measure impact across a B2B SaaS buyer's journey.
- Track record of building a trusted Finance partnership — developing shared measurement frameworks that drive budget decisions, not just reporting.
- Strong technical fluency — able to design experiments, validate data science outputs, and direct execution teams effectively.
- Experience with modern, multi-touch attribution approaches across paid, owned, and earned channels, including view-based and buying-group-level measurement.
- Excellent executive communication skills — able to translate complex causal findings into clear investment recommendations for non-technical stakeholders.
Nice-to-Have Qualifications
- Marketing measurement and leadership experience at a B2B SaaS or high-growth technology company.
- Data science background.
- Experience with Brand and LLM/AEO/GEO measurement techniques and attribution.
- Background in or close partnership with paid media strategy and bidding optimization.
- Experience evaluating and managing external measurement vendors — MMM platforms, incrementality tools, or LTV providers.
- Familiarity with B2B buying-group measurement across complex, multi-stakeholder sales cycles.
Key Qualities We'll Test For
- Measurement depth and methodology rigor
- Finance partnership and decision-making impact
- Predictive analytics and forecasting capability
- Strategic operating model and build vs. buy judgment
- Technical fluency and data science collaboration
- Executive communication and strategic storytelling
At HubSpot, we value both flexibility and connection. Whether you're a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you'll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.
If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements.
ABOUT HUBSPOT
HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers.
At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.
We're building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.
Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.
If you need accommodations or assistance due to a disability, please reach out to us using this form.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.
India Applicants: link to HubSpot India's equal opportunity policy here.
HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.
See all 463+ H-1B Visa Principal Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Principal Data Analyst Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Principal Data Analyst
Align your degree to the role
USCIS evaluates whether your degree field directly relates to data analysis duties. A degree in statistics, mathematics, computer science, or information systems strengthens the specialty occupation argument. A business or unrelated degree may require a credential evaluation and supporting documentation.
Verify your prevailing wage tier early
Use the OFLC Wage Search to check the prevailing wage for Principal Data Analyst roles in your target metro area before accepting an offer. Your offer must meet or exceed the Level III or IV wage to satisfy LCA requirements.
Target employers with active LCA filing history
Find Principal Data Analyst roles at employers with verified H-1B sponsorship history by searching Migrate Mate, which lists companies with confirmed LCA filings in this occupation so you can focus your applications on proven sponsors.
Confirm each worksite has a certified LCA
If you'll work at a client site or in a hybrid arrangement across multiple locations, each distinct worksite requires its own certified LCA. Raise this with HR before signing an offer to avoid status complications after you start.
Review the O*NET profile before interviews
The O*NET occupation profile for data analysts details the specific tasks, skills, and knowledge areas USCIS expects this role to involve. Framing your experience around those descriptors helps your employer build a stronger specialty occupation argument in the I-129.
Account for cap timing if you're not cap-exempt
H-1B selection rules have changed recently, so confirm your start date timeline with your employer before you resign from your current position. Universities and nonprofits attached to higher education are cap-exempt and can file year-round, which affects your options if you're weighing multiple offers.
H-1B Visa Principal Data Analyst: Frequently Asked Questions
Does a Principal Data Analyst role qualify as an H-1B specialty occupation?
Yes, Principal Data Analyst roles typically qualify because the position requires at least a bachelor's degree in a directly related field such as statistics, computer science, mathematics, or data science. The employer must document in the I-129 petition that the role's duties, complexity, and seniority level necessitate that specific degree background, not just any bachelor's degree.
What does the employer file to sponsor my H-1B as a Principal Data Analyst?
Your employer first files a Labor Condition Application with DOL, certifying that your offered wage meets the prevailing wage for the role and location. Once the LCA is certified, the employer files Form I-129 with USCIS. USCIS then adjudicates the petition and, if approved, your H-1B status is valid for up to three years, extendable to six.
How do I find employers who sponsor H-1B visas for Principal Data Analyst positions?
Search Migrate Mate to browse Principal Data Analyst roles at employers with verified H-1B LCA filing history. This narrows your search to companies that have already navigated the sponsorship process for this type of role, reducing the risk of pursuing employers who lack the experience or willingness to file.
Can I transfer my H-1B to a new employer if I switch Principal Data Analyst jobs?
Yes, H-1B portability lets you start working for a new employer once they file a transfer petition with USCIS, without waiting for approval, provided you're maintaining valid status. The new employer must file a fresh LCA reflecting the new worksite and role, and the position must continue to qualify as a specialty occupation.
Does working at a client site affect my H-1B status as a Principal Data Analyst?
Yes. If your employer places you at a third-party client location, DOL requires a certified LCA that lists that specific worksite. Your employer must also be able to demonstrate they maintain an employer-employee relationship with you, which matters particularly in consulting or staff augmentation arrangements. Confirm these details before accepting a client-facing offer.