AI Data Analyst Visa Sponsorship Jobs in Massachusetts
AI data analyst visa sponsorship jobs in Massachusetts are concentrated in Greater Boston, Cambridge, and the Route 128 corridor, where employers like Amazon, Wayfair, Biogen, and HubSpot hire internationally. The state's density of research universities and biotech firms creates steady demand for professionals who combine machine learning expertise with analytical workflows.
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Get Access To All JobsWho We Are
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.
What We Need
We are looking for an AI Analytics Engineer to join Symbotic. Your job will be to design and build an intelligent analytics ecosystem that aggregates operations data across multiple systems and leverages agentic AI to generate insights, dashboards, and proactive recommendations. This individual will play a critical role in enabling scalable, real-time visibility into business performance as we grow globally, with a focus on hands-on development of robust, production-level data systems.
What You’ll Do
Data Integration & Modeling:
- Aggregate and unify data across disparate systems.
- Design scalable data models and pipelines to enable reliable and real-time analytics.
AI-Driven Analytics & Reporting:
- Leverage agentic AI tools to dynamically generate reports and dashboards.
- Build solutions that provide both real-time visibility and historical trend analysis across key business initiatives.
- Implement AI-driven workflows to automate data analysis, reporting, insight generation, and risk mitigation strategies.
Dashboarding & Visualization:
- Develop intuitive, executive-ready dashboards that highlight key performance indicators and insights.
- Collaborate with cross-functional analytics and business partners to align on priorities and ensure insights translate into measurable outcomes.
- Ensure reporting is actionable and aligned to business priorities.
Risk Identification & Actionable Recommendations:
- Analyze data to identify risks, inefficiencies, and performance gaps.
- Provide clear, data-driven recommendations to mitigate risks and improve outcomes.
Data Governance:
- Establish and enforce enterprise-wide data governance and standards, including clear ownership of core metrics across systems, metric definitions, calculation methodologies, source-of-truth alignment across systems.
- Lead data governance and data quality efforts, including identifying and remediating inconsistencies across data sources and pipelines, and ensuring accuracy, consistency, and trust in analytics outputs.
What You’ll Need
- Bachelor’s degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline.
- Minimum of 8 years of experience in Data Engineering, Analytics Engineering, or Data Science with a strong foundation in statistical analysis and data modeling.
- Experience building agentic AI frameworks for analytics automation.
- Strong proficiency in SQL and Python (data manipulation, analysis, automation).
- Expertise in data visualization tools (e.g., Tableau, Power BI, Looker).
- Experience working with large, multi-source datasets and building scalable data models.
- Demonstrated hands-on coding capability, with experience designing, building, and maintaining production-grade data pipelines and analytics systems.
- Experience defining and implementing data governance frameworks, including metric standardization, data ownership models, and source-of-truth alignment.
- Strong business acumen with the ability to translate data into actionable insights.
- Comfortable operating in a fast-paced, high-growth environment where speed, ownership, and adaptability are critical.
Our environment
- Up to 10% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.
- The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.
About Symbotic
Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers.
The base range for this position in the posted location is $149,000.00 - $204,600.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.
We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
Who We Are
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.
What We Need
We are looking for an AI Analytics Engineer to join Symbotic. Your job will be to design and build an intelligent analytics ecosystem that aggregates operations data across multiple systems and leverages agentic AI to generate insights, dashboards, and proactive recommendations. This individual will play a critical role in enabling scalable, real-time visibility into business performance as we grow globally, with a focus on hands-on development of robust, production-level data systems.
What You’ll Do
Data Integration & Modeling:
- Aggregate and unify data across disparate systems.
- Design scalable data models and pipelines to enable reliable and real-time analytics.
AI-Driven Analytics & Reporting:
- Leverage agentic AI tools to dynamically generate reports and dashboards.
- Build solutions that provide both real-time visibility and historical trend analysis across key business initiatives.
- Implement AI-driven workflows to automate data analysis, reporting, insight generation, and risk mitigation strategies.
Dashboarding & Visualization:
- Develop intuitive, executive-ready dashboards that highlight key performance indicators and insights.
- Collaborate with cross-functional analytics and business partners to align on priorities and ensure insights translate into measurable outcomes.
- Ensure reporting is actionable and aligned to business priorities.
Risk Identification & Actionable Recommendations:
- Analyze data to identify risks, inefficiencies, and performance gaps.
- Provide clear, data-driven recommendations to mitigate risks and improve outcomes.
Data Governance:
- Establish and enforce enterprise-wide data governance and standards, including clear ownership of core metrics across systems, metric definitions, calculation methodologies, source-of-truth alignment across systems.
- Lead data governance and data quality efforts, including identifying and remediating inconsistencies across data sources and pipelines, and ensuring accuracy, consistency, and trust in analytics outputs.
What You’ll Need
- Bachelor’s degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline.
- Minimum of 8 years of experience in Data Engineering, Analytics Engineering, or Data Science with a strong foundation in statistical analysis and data modeling.
- Experience building agentic AI frameworks for analytics automation.
- Strong proficiency in SQL and Python (data manipulation, analysis, automation).
- Expertise in data visualization tools (e.g., Tableau, Power BI, Looker).
- Experience working with large, multi-source datasets and building scalable data models.
- Demonstrated hands-on coding capability, with experience designing, building, and maintaining production-grade data pipelines and analytics systems.
- Experience defining and implementing data governance frameworks, including metric standardization, data ownership models, and source-of-truth alignment.
- Strong business acumen with the ability to translate data into actionable insights.
- Comfortable operating in a fast-paced, high-growth environment where speed, ownership, and adaptability are critical.
Our environment
- Up to 10% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.
- The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.
About Symbotic
Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers.
The base range for this position in the posted location is $149,000.00 - $204,600.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.
We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
AI Data Analyst Job Roles in Massachusetts
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Search AI Data Analyst Jobs in MassachusettsAI Data Analyst Jobs in Massachusetts: Frequently Asked Questions
Which companies in Massachusetts sponsor visas for AI data analysts?
Massachusetts-based employers with active sponsorship histories for AI and data roles include Amazon (through its Boston and Cambridge offices), Wayfair, HubSpot, Biogen, Moderna, and Fidelity Investments. Healthcare technology firms along the Route 128 corridor, such as athenahealth and Veeva Systems, also file regularly for data and analytics positions requiring machine learning skills.
Which visa types realistically fit AI data analyst roles in Massachusetts?
AI data analyst positions typically qualify as specialty occupations requiring a bachelor's degree in computer science, data science, statistics, or a directly related field. The H-1B visa is the primary path, subject to an annual cap and selection process. F-1 students may use OPT or STEM OPT if their degree is STEM-designated. Australian nationals may apply for the E-3 visa, and Chilean and Singaporean nationals for the H-1B1 visa, both of which require a Labor Condition Application filed by the employer.
Which cities in Massachusetts have the most AI data analyst sponsorship jobs?
Boston and Cambridge account for the highest concentration of AI data analyst sponsorship activity in Massachusetts, driven by proximity to MIT, Harvard, and a dense cluster of tech, biotech, and financial services employers. Waltham and Burlington along Route 128 also host a significant number of analytics-focused employers. Worcester is emerging as a secondary market with growing healthcare data roles.
How to find ai data analyst visa sponsorship jobs in Massachusetts?
Migrate Mate lists verified Massachusetts employers with confirmed sponsorship histories for AI data analyst and related roles, searchable by city and employer. Because the state's market spans biotech, fintech, and enterprise software, filtering specifically for Massachusetts within Migrate Mate helps identify which companies have filed Labor Condition Applications for data and machine learning positions, making it easier to target applications strategically.
Are there state-specific considerations for AI data analysts seeking sponsorship in Massachusetts?
Massachusetts has an unusually strong university-to-industry pipeline, with MIT, Northeastern, and Boston University feeding graduates directly into local employers who are accustomed to sponsoring international talent. The biotech cluster around Kendall Square means many AI data analyst roles sit at the intersection of life sciences and machine learning, which can require applicants to demonstrate domain-specific knowledge alongside technical skills when applying for sponsored positions.
What is the prevailing wage for sponsored ai data analyst 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.