Principal Data Analyst Jobs in USA with Visa Sponsorship
Principal Data Analyst roles qualify as specialty occupations under the H-1B visa, making employer sponsorship straightforward for candidates with a relevant bachelor's degree or higher. Many large analytics-heavy employers file LCAs annually, and the role's clear degree requirement helps avoid common RFE triggers during USCIS review.
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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 519+ Principal Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Principal Data Analyst roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Principal Data Analyst
Map your degree to the role
Principal Data Analyst positions require a degree in statistics, computer science, mathematics, or a directly related quantitative field. A general business degree without a data-heavy curriculum can trigger an H-1B specialty occupation RFE, so document how your coursework aligns to the specific analytical duties in the job description.
Check prevailing wage before negotiating
Use the OFLC Wage Search to look up the prevailing wage for Data Analysts at Level III or IV in your target metro area. Your offer must meet or exceed that figure on the LCA, so knowing the floor before salary conversations prevents an employer from filing a noncompliant petition.
Target employers with active LCA filing history
Search Migrate Mate to find employers with verified LCA filings for data analyst roles. Companies with consistent filing history already have HR processes in place, reducing the risk that your offer stalls because a hiring manager doesn't know how sponsorship works.
Distinguish principal-level scope in your resume
USCIS adjudicators look for evidence that the role genuinely requires a specialty degree. Highlight ownership of enterprise-scale data models, cross-functional stakeholder deliverables, and decisions tied to business outcomes. Vague bullet points describing general reporting tasks weaken the specialty occupation argument your employer needs to make.
Ask about PERM before accepting an offer
If you're planning a long-term U.S. career, ask the recruiter whether the company has sponsored PERM labor certifications for similar roles. Principal analyst positions typically qualify under the EB-2 or EB-3 categories, and some employers won't start PERM until you've been with them for a year, which affects your green card timeline.
Account for the H-1B cap and lottery timing
H-1B petitions are subject to an annual cap with a lottery. USCIS has changed the selection rules recently, so confirm current mechanics before planning your start date. If you're not selected, O*NET classifies Principal Data Analyst roles in a way that may support TN status for Canadian nationals, depending on how your employer frames the position.
Frequently Asked Questions
Does a Principal Data Analyst role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS looks for roles where a bachelor's degree in a specific field is a standard industry requirement. Principal Data Analyst positions typically meet this test when the job description ties directly to statistics, computer science, or a related quantitative discipline. Roles framed around general business analytics with no field-specific degree requirement are more vulnerable to a Request for Evidence.
Which visas are realistic options for Principal Data Analyst candidates seeking sponsorship?
The H-1B is the most common path and covers the role cleanly as a specialty occupation. Canadian nationals may qualify for TN visa status if the employer frames the role under a recognized USMCA profession. Australian nationals can explore the E-3 visa, which also requires a specialty occupation and has no lottery. Each option requires the employer to file an LCA with DOL first.
How do I find employers actively sponsoring Principal Data Analyst roles?
Browse Principal Data Analyst roles on Migrate Mate, which lists employers with verified LCA sponsorship history for data analyst positions. This filters out job postings from companies that have never filed for the role, saving you from applying to employers who are unlikely to follow through on sponsorship.
What degree background do I need to qualify for H-1B sponsorship as a Principal Data Analyst?
USCIS expects a bachelor's degree or higher in a field directly related to the job's analytical duties, such as statistics, mathematics, computer science, information systems, or economics with a quantitative focus. A three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for USCIS purposes, though your employer may need a credential evaluation to confirm this.
Can a Principal Data Analyst role support a green card through PERM?
Yes. The role typically qualifies under EB-2, which requires an advanced degree or exceptional ability, or EB-3 for skilled workers with at least two years of experience. Your employer files a PERM labor certification with DOL to demonstrate no qualified U.S. workers are available. Country of birth affects wait times significantly, with India-born applicants facing multi-year backlogs due to per-country limits.
What is the prevailing wage requirement for sponsored Principal Data Analyst jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.