Remote Principal Data Analyst Jobs
Remote principal data analyst jobs are open across the U.S. in technology, financial services, healthcare, and media at remote-first companies and distributed enterprise teams that need senior analytical leadership without geographic limits. Employers hiring remotely right now include Tendo, HubSpot, and Vericast. Find a role that fits below and apply directly.
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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.
What You'll Do
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.
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 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.
Explore more:
- HubSpot Careers
- Life at HubSpot on Instagram
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.
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.
What You'll Do
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.
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 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.
Explore more:
- HubSpot Careers
- Life at HubSpot on Instagram
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 11 Remote Principal Data Analyst Jobs
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Find JobsRemote Principal Data Analyst Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Media & Entertainment
- Banking & Financial Services
What Employers Look For
The qualifications that appear most often in remote principal data analyst jobs.
- Five or more years of experience in data analysis or related analytical roles
- Advanced proficiency in SQL and at least one scripting language such as Python or R
- Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Demonstrated ability to translate complex analyses into executive-level recommendations
- Proficiency in BI tools such as Tableau, Looker, or Power BI for self-serve reporting
- Bachelor's degree in statistics, mathematics, computer science, or a quantitative field
Tips for Your Remote Principal Data Analyst Job Search
Show async communication in your materials
Remote principal data analyst hiring teams look for candidates who write clearly and document their thinking. Include links to written analyses, decision memos, or dashboards with narrative context in your portfolio. Clear written output signals you can function in a distributed team.
Demonstrate remote data leadership explicitly
Remote employers want proof you've driven analytical strategy without in-person oversight. Call out in your resume and cover letter when you led cross-functional data initiatives, defined metrics frameworks, or mentored analysts across time zones. Unnamed senior contributions read as team work, not leadership.
Apply early to remote roles that fit
Migrate Mate lists remote principal data analyst openings from across the U.S. in one place, so you can find roles that match your skills and apply directly. Remote postings at the principal level often close faster than on-site ones because the candidate pool is national.
Prepare for async technical screens
Many remote-first companies use take-home analytical exercises or recorded video responses instead of live coding rounds. Practice writing up your methodology and findings as if the reviewer will read them without you present, because that is exactly what happens.
Remote Principal Data Analyst Jobs: Frequently Asked Questions
How do I get a remote principal data analyst job?
Remote principal data analyst roles go to candidates who can demonstrate senior-level impact without in-person oversight. Remote-first companies and distributed enterprise teams screen heavily for self-direction, structured async communication, and the ability to drive data strategy independently. Proficiency in SQL, Python or R, and cloud data platforms matters, but so does a portfolio that shows you have shaped decisions, not just delivered reports.
Which companies hire remote principal data analysts?
Employers currently hiring remote principal data analysts include Tendo, HubSpot, and Vericast, per current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, distributed financial services companies, and healthcare analytics organizations account for a large share of these openings.
Can you get a remote principal data analyst job with no experience?
Yes, but remote principal data analyst roles at this seniority level are harder to land without a track of demonstrated independent work, since remote employers expect you to operate without close oversight from day one. Entry paths include remote junior or mid-level analyst roles at smaller remote-first companies, open-source contributions, and project portfolios that show you can scope, execute, and communicate findings without direction.
Do you need a degree for remote principal data analyst jobs?
Not always. Many remote employers weigh a strong portfolio of analytical work, hands-on experience with modern data stacks, and a history of influencing business decisions over a formal degree requirement. That said, postings at larger enterprises in regulated sectors like finance or healthcare more often list a bachelor's or master's degree as expected, particularly at the principal level.
Which industries hire the most remote principal data analysts?
Remote principal data analyst roles concentrate in Technology & Software, Media & Entertainment, and Banking & Financial Services, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed data teams that need senior analysts who can lead strategy and deliver insights without being co-located with stakeholders.
See All 11 Remote Principal Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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