Analytics Engineer Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest states for analytics engineer roles, with major employers concentrated in Greater Boston, Cambridge, and the Route 128 corridor. Companies like HubSpot, Wayfair, Biogen, and Fidelity Investments regularly hire for data infrastructure roles and have established visa sponsorship programs for international candidates.
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Get Access To All JobsINTRODUCTION
InvoiceCloud is a fast-growing fintech leader recognized with 20 major awards in 2025, including USA TODAY and Boston Globe Top Workplaces, multiple SaaS Awards wins for Best Solution for Finance and FinTech, and national customer service honors from Stevie and the Business Intelligence Group. Judges also highlighted our mission to reduce digital exclusion and restore simplicity and dignity to how people pay for essential services, as well as our leadership in AI maturity and responsible innovation. It’s an award-winning, purpose-driven environment where top talent thrives.
ROLE AND RESPONSIBILITIES
We are seeking a Director, Marketing Strategy & Analytics to join our Marketing team in Boston, MA (hybrid), reporting to the Chief Marketing Officer. Marketing is in the middle of an AI transformation, and this leader will serve as the CMO's strategic and analytical partner across Corporate Marketing, Customer Marketing, Demand Generation, and Product Marketing. The ideal candidate is a leader who can take an ambiguous question with no existing infrastructure and turn it into a working model and a clear recommendation, influencing senior leaders and cross-functional peers without relying on formal authority. This role is designed to grow: as the function scales, so will the scope, team, and level.
Success Profile
This role is anchored in our company's leadership competencies. These competencies reflect the mindsets and behaviors that define success in this role. Below is how each competency translates into meaningful impact and outcomes for this position.
Results-Driven:
- Build financial and marketing models from scratch, such as budget allocation, funnel and pipeline, ROI, forecasting, and scenario planning, and turn them into decisions leaders can act on.
- Measure what's working by building the models and scorecards that show whether AI is improving speed, cost, quality, and growth.
- Run the marketing leadership cadence by owning planning cycles, QBRs, priorities, metrics reviews, and follow-through, keeping the leadership team organized and accountable.
Customer-Centric:
- Partner with the CMO and marketing leaders to help decide where to invest, what to build, and how to measure results.
- Scope and direct the work for our marketing teams by turning big ideas into clear priorities, owners, and success metrics, and keeping momentum across teams.
- Lead through influence by aligning cross-functional peers and senior leaders without relying on formal authority.
Innovative:
- Act as the cross-functional partner to every marketing team, working with Corporate Marketing, Customer Marketing, Demand Generation, and Product Marketing to find where AI can improve campaigns, creative, web, and day-to-day work, and helping each team scope, prioritize, and adopt it.
- Change how our teams work by shaping new ways of working across marketing, including how work gets planned, handed off, reviewed, and shipped, and bringing teams along so the changes stick.
- Set the standards by defining what gets automated, what stays human, and how we keep quality high.
Strategic:
- Structure ambiguous problems by framing the question, defining the approach, and driving to an answer, on your own or with partners in Sales, Finance, Product, and RevOps.
- Review our tech stack by leading an open review of marketing's tools and data flows, and recommending what to keep, replace, consolidate, or build so the whole system is AI forward.
- Be the CMO's data thought partner by bringing insight, not just reporting: pressure-test assumptions, surface trade-offs, and prepare the CMO for executive and board conversations.
BASIC QUALIFICATIONS
- 10+ years of progressively responsible experience in strategy, FP&A, consulting, marketing ops/analytics, or growth; an MBA or equivalent experience is a plus
- Demonstrated understanding of revenue drivers, unit economics, go-to-market, and how marketing drives growth
- Hands-on experience using AI to do real work, such as building models, automating workflows, or scoping AI-enabled systems, and the ability to determine when AI is, and isn't, the right tool
- Proficiency building financial and marketing models in spreadsheets, with experience in financial modeling, marketing modeling, or both, and the ability to go from a blank sheet to a workable, defensible model without existing infrastructure
- A record of structuring ambiguous problems and solving them independently or in collaboration
- Experience presenting analysis and recommendations to executives and senior leaders and influencing decisions
- Ability to communicate complex analysis clearly and persuasively in writing
- Track record of seeking feedback and building new skills
- Experience evaluating tools, processes, and ways of working with a systems and operations lens is a plus
- B2B SaaS or fintech experience is a plus
- Experience with BI tools or SQL is a plus
BENEFITS
- Medical, dental, vision, life & disability insurance
- 401(k) plan with company match
- Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays
- Mental health resources
- Paid parental leave & backup care
- Tuition reimbursement
- Employee Resource Groups (ERGs)
INTRODUCTION
InvoiceCloud is a fast-growing fintech leader recognized with 20 major awards in 2025, including USA TODAY and Boston Globe Top Workplaces, multiple SaaS Awards wins for Best Solution for Finance and FinTech, and national customer service honors from Stevie and the Business Intelligence Group. Judges also highlighted our mission to reduce digital exclusion and restore simplicity and dignity to how people pay for essential services, as well as our leadership in AI maturity and responsible innovation. It’s an award-winning, purpose-driven environment where top talent thrives.
ROLE AND RESPONSIBILITIES
We are seeking a Director, Marketing Strategy & Analytics to join our Marketing team in Boston, MA (hybrid), reporting to the Chief Marketing Officer. Marketing is in the middle of an AI transformation, and this leader will serve as the CMO's strategic and analytical partner across Corporate Marketing, Customer Marketing, Demand Generation, and Product Marketing. The ideal candidate is a leader who can take an ambiguous question with no existing infrastructure and turn it into a working model and a clear recommendation, influencing senior leaders and cross-functional peers without relying on formal authority. This role is designed to grow: as the function scales, so will the scope, team, and level.
Success Profile
This role is anchored in our company's leadership competencies. These competencies reflect the mindsets and behaviors that define success in this role. Below is how each competency translates into meaningful impact and outcomes for this position.
Results-Driven:
- Build financial and marketing models from scratch, such as budget allocation, funnel and pipeline, ROI, forecasting, and scenario planning, and turn them into decisions leaders can act on.
- Measure what's working by building the models and scorecards that show whether AI is improving speed, cost, quality, and growth.
- Run the marketing leadership cadence by owning planning cycles, QBRs, priorities, metrics reviews, and follow-through, keeping the leadership team organized and accountable.
Customer-Centric:
- Partner with the CMO and marketing leaders to help decide where to invest, what to build, and how to measure results.
- Scope and direct the work for our marketing teams by turning big ideas into clear priorities, owners, and success metrics, and keeping momentum across teams.
- Lead through influence by aligning cross-functional peers and senior leaders without relying on formal authority.
Innovative:
- Act as the cross-functional partner to every marketing team, working with Corporate Marketing, Customer Marketing, Demand Generation, and Product Marketing to find where AI can improve campaigns, creative, web, and day-to-day work, and helping each team scope, prioritize, and adopt it.
- Change how our teams work by shaping new ways of working across marketing, including how work gets planned, handed off, reviewed, and shipped, and bringing teams along so the changes stick.
- Set the standards by defining what gets automated, what stays human, and how we keep quality high.
Strategic:
- Structure ambiguous problems by framing the question, defining the approach, and driving to an answer, on your own or with partners in Sales, Finance, Product, and RevOps.
- Review our tech stack by leading an open review of marketing's tools and data flows, and recommending what to keep, replace, consolidate, or build so the whole system is AI forward.
- Be the CMO's data thought partner by bringing insight, not just reporting: pressure-test assumptions, surface trade-offs, and prepare the CMO for executive and board conversations.
BASIC QUALIFICATIONS
- 10+ years of progressively responsible experience in strategy, FP&A, consulting, marketing ops/analytics, or growth; an MBA or equivalent experience is a plus
- Demonstrated understanding of revenue drivers, unit economics, go-to-market, and how marketing drives growth
- Hands-on experience using AI to do real work, such as building models, automating workflows, or scoping AI-enabled systems, and the ability to determine when AI is, and isn't, the right tool
- Proficiency building financial and marketing models in spreadsheets, with experience in financial modeling, marketing modeling, or both, and the ability to go from a blank sheet to a workable, defensible model without existing infrastructure
- A record of structuring ambiguous problems and solving them independently or in collaboration
- Experience presenting analysis and recommendations to executives and senior leaders and influencing decisions
- Ability to communicate complex analysis clearly and persuasively in writing
- Track record of seeking feedback and building new skills
- Experience evaluating tools, processes, and ways of working with a systems and operations lens is a plus
- B2B SaaS or fintech experience is a plus
- Experience with BI tools or SQL is a plus
BENEFITS
- Medical, dental, vision, life & disability insurance
- 401(k) plan with company match
- Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays
- Mental health resources
- Paid parental leave & backup care
- Tuition reimbursement
- Employee Resource Groups (ERGs)
Analytics Engineer Job Roles in Massachusetts
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Search Analytics Engineer Jobs in MassachusettsAnalytics Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in Massachusetts?
Several large Massachusetts employers have consistent track records of sponsoring work visas for analytics engineers, including Wayfair, HubSpot, Fidelity Investments, Biogen, and Takeda. Boston-based tech and life sciences firms tend to be the most active sponsors. Mid-size and growth-stage companies in the fintech and healthtech sectors also hire internationally, though sponsorship decisions are made case by case.
Which visa types are most common for analytics engineer roles in Massachusetts?
The H-1B visa is the most common visa for analytics engineers in Massachusetts, as the role typically meets the specialty occupation standard requiring a bachelor's degree or higher in computer science, data engineering, statistics, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT extension also frequently transition into sponsored roles with Massachusetts employers without waiting for the next H-1B visa cap season.
Which cities in Massachusetts have the most analytics engineer sponsorship jobs?
Boston and Cambridge account for the majority of analytics engineer sponsorship opportunities in Massachusetts, driven by concentrations of tech companies, financial services firms, and life sciences organizations. The Route 128 corridor, including Waltham and Lexington, is also a significant hub. Somerville and Kendall Square have grown considerably as data-focused employers expand their engineering teams in the Greater Boston area.
How to find analytics engineer visa sponsorship jobs in Massachusetts?
Migrate Mate is designed specifically for international candidates searching for visa sponsorship roles. You can filter directly by job title and state to surface analytics engineer positions in Massachusetts where employers have indicated sponsorship willingness. This saves time compared to sifting through general job postings where sponsorship status is unclear. Creating a profile also helps match your background to relevant openings as new roles are listed.
Are there state-specific factors analytics engineers should know when targeting Massachusetts employers?
Massachusetts has a high concentration of universities including MIT, Harvard, and Northeastern that produce strong local data engineering talent, so competition for sponsored roles can be meaningful. Life sciences and fintech are the two industries most actively hiring analytics engineers with sponsorship in this state. Employers filing H-1B petitions must pay prevailing wages determined by the Department of Labor, and Massachusetts wage levels for data roles tend to reflect the Boston metro cost of living.
What is the prevailing wage for sponsored analytics engineer jobs in Massachusetts?
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.