Green Card Principal Data Analyst Jobs
Principal Data Analyst roles qualify for EB-2 or EB-3 green card sponsorship through the PERM labor certification process, where your employer documents the prevailing wage, runs a recruitment test, and petitions USCIS for your permanent residence. Per-country backlogs mean priority dates matter, so starting the sponsorship timeline early is essential.
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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 449+ Green Card Principal Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Principal Data Analyst Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Principal Data Analyst
Align your credentials to EB-2 standards
If your highest degree is a bachelor's, document five or more years of progressive data analysis experience before applying. USCIS evaluates the combination of degree and experience together, so gaps in documented progression can stall your I-140 petition.
Use OFLC Wage Search before salary negotiations
Look up the prevailing wage for your SOC code and work location before accepting an offer. If the employer's offer falls below the DOL-determined wage level, PERM certification will fail regardless of how strong your petition is.
Find sponsors through Migrate Mate
Target employers with active employment-based green card filing history. Migrate Mate lists U.S. employers with verified green card sponsorship history, searchable by role and city, so you're not guessing which companies actually run PERM.
Review the O*NET profile for your job description
PERM requires the job duties in the employer's posting to match what DOL expects for the occupation. Cross-check your offered role against the O*NET profile for Principal Data Analyst to catch any duty mismatches before the recruitment test begins.
Ask about the PERM recruitment stage upfront
Some employers start recruitment testing only after you join. Ask during the offer stage whether PERM has already been filed or is still pending, since recruitment advertising requirements add months before DOL even receives the application.
Preserve your priority date if you change employers
Once your original I-140 is approved, your priority date can carry over to a new employer's petition. If your I-485 has been pending 180 days or more, AC21 portability also lets you move to a same or similar data analyst role without restarting your green card case.
Green Card Principal Data Analyst: Frequently Asked Questions
Does a Principal Data Analyst role qualify for EB-2 or EB-3 green card sponsorship?
Most Principal Data Analyst positions qualify for either category. EB-2 applies when the role requires an advanced degree or a bachelor's degree plus five years of progressive experience. EB-3 covers professionals with a bachelor's degree in a relevant field. The employer's job description and your credentials together determine which category USCIS accepts.
How is PERM green card sponsorship different from H-1B for a data analyst?
H-1B visa is temporary status tied to a single employer with an annual cap and lottery. PERM leads to lawful permanent residence with no employer tie after green card approval. The process involves DOL labor certification, an I-140 petition, and either adjustment of status or consular processing. It's longer, but the outcome is permanent rather than renewable every few years.
How do I find Principal Data Analyst employers who sponsor green cards?
Migrate Mate lists employers with verified employment-based green card sponsorship history, searchable by role and location. This lets you focus on companies that have actually completed PERM filings rather than those that only describe themselves as open to sponsorship in job postings.
How long does the green card process take for a Principal Data Analyst from India or China?
Processing time depends heavily on your country of birth. Nationals of India and China face significant priority-date backlogs in the EB-2 and EB-3 categories because per-country annual limits apply. Nationals from most other countries typically see shorter waits, though USCIS adjudication timelines for the I-140 and I-485 add additional time regardless of nationality.
Can I change employers while my green card is in process?
Yes, in two situations. If your I-485 has been pending 180 days or more, AC21 portability lets you move to a same or similar Principal Data Analyst role without restarting your case. Separately, if your original employer's I-140 was already approved, a new employer can file a fresh I-140 and you can retain your original priority date, avoiding years of lost waiting time.