J-1 Visa Business Intelligence Analyst Jobs
Business Intelligence Analyst roles in the United States are accessible to international professionals through J-1 visa sponsorship, most commonly under the Trainee or Intern program category. Designated sponsors issue your DS-2019 and oversee your training plan while a U.S. host employer provides the actual placement and day-to-day work experience.
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The Food is Medicine Institute at the Friedman School of Nutrition Science and Policy at Tufts University (the Institute) seeks an outstanding postdoctoral fellow to work on an original nutrient profiling system, Food Compass, under the mentorship and guidance of Institute Director Dr. Dariush Mozaffarian.
Bringing together research, training, patient services, policy development, and community engagement, the Institute aims to serve as a catalyst to drive change, improve health, reduce health disparities, and create a more equitable and resilient healthcare system that recognizes the power of nourishing food. Its efforts are centered in health equity to work collaboratively with and improve the lives of traditionally marginalized, vulnerable populations. The Institute also hosts and builds networks with partnerships with stakeholders within and beyond healthcare to ensure that efforts advance well-being and policy broadly and reach the people who need them most.
WHAT YOU'LL DO:
This is a full-time (12 months per year) position with an anticipated duration of 2-3 years, subject to annual review and renewal based on performance and available funding. The position is based in Boston, MA, and requires regular in-person work. Flexible and hybrid arrangements (e.g., 1–2 days per week remote) may be considered; fully remote work is not available. Applicants must be authorized to work in the United States. The start date is negotiable. This position offers a competitive salary, excellent benefits, and opportunities for professional development, travel, and collaboration with leading researchers and partners.
The successful candidate will meaningfully contribute to advancing the development, expansion, and application of Food Compass across various partnerships. This may include research and activities related to:
- Updating and expanding the Food Compass algorithm according to the latest science, including expansion to include novel health-related bioactive attributes;
- Supporting ongoing work and manuscripts, including related data manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization;
- Leading analyses describing dietary intake in the United States and internationally using Food Compass and existing dietary data from major data sources, including the National Health and Nutrition Examination Survey (NHANES), the USDA Branded Foods Database, UK Biobank, and others;
- Collaborating with food retailers, healthcare systems, international health-focused government agencies, nutrition-focused venture capital firms and coalitions, and other organizations to advance the role of NPS in consumer education and the creation of a healthier and more equitable food environment;
- Disseminating research findings to relevant stakeholders, including the scientific community, food system leaders, legislative bodies, and advocacy groups and agencies.
The fellow will work within a close-knit, collegial multi-disciplinary team of other trainees, students, and staff within the Institute. In addition to mentoring from Dr. Dariush Mozaffarian, the fellow will interact with and gain knowledge and experience from a range of other expert faculty across the Institute and beyond. The fellow will also benefit from meetings, seminars, and coalitions of multi-sector leaders in Food is Medicine including healthcare, community-based, retail, policy, and advocacy organizations. The training program will emphasize the design and publication of original analyses and manuscripts as first author, career development, and transition toward an independent research career.
BASIC QUALIFICATIONS:
Candidates must possess a relevant medical or doctoral degree (MD, PhD, DrPH, ScD) in quantitative sciences (biostatistics, artificial intelligence, epidemiology, etc.), health sciences (e.g., medicine, nutrition, public health, etc.), or related professions (e.g., economics, public policy, business, law, etc.). Strong quantitative and data skills are a must. Ideal candidates will have demonstrated experience applying AI and machine learning tools to manage, clean, and code complex nutrient content and food product datasets. Experience with data visualizations, front of pack labeling, and nutrition policy would also be an asset.
Individuals who work well across disciplines, are collegial and collaborative, and have interest in the intersections of nutrition, information systems, health, medicine, and equity will particularly thrive in this role. Candidates must have a track record of successful interdisciplinary research as evidenced by multiple original, peer-reviewed research publications in a relevant field. We seek candidates whose work is relevant to diverse stakeholders in public and health sectors.
WHAT WE'RE LOOKING FOR:
Required education, experience and skills
Applicants must have an MD or doctoral degree (PhD, DrPH, ScD); additional training in biostatistics, coding, AI, epidemiology, nutrition, public health, economics, or related fields; and a record of original, first-author research publications in relevant areas. Candidates must have excellent quantitative/analytical research skills, strong written and oral communication skills, experience using analytic programs for data management and analysis (e.g., STATA, SPSS, SAS, R), and familiarity with AI tools for data processing, nutrient coding, and analysis of large food and dietary datasets, and the ability to work well independently and as part of a team with collaborators.
APPLICATION INSTRUCTIONS
A complete application will include; cover letter, CV, and names of three references (if available, reference letters welcomed). Applications should be submitted via Interfolio. Questions can be directed to Julia Sharib (julia.reedy@tufts.edu). Applications will be considered as they are received.
SALARY RANGE:
Minimum $67,500.00, Midpoint $72,875.00, Maximum $78,250.00
Overview:
The Food is Medicine Institute at the Friedman School of Nutrition Science and Policy at Tufts University (the Institute) seeks an outstanding postdoctoral fellow to work on an original nutrient profiling system, Food Compass, under the mentorship and guidance of Institute Director Dr. Dariush Mozaffarian.
Bringing together research, training, patient services, policy development, and community engagement, the Institute aims to serve as a catalyst to drive change, improve health, reduce health disparities, and create a more equitable and resilient healthcare system that recognizes the power of nourishing food. Its efforts are centered in health equity to work collaboratively with and improve the lives of traditionally marginalized, vulnerable populations. The Institute also hosts and builds networks with partnerships with stakeholders within and beyond healthcare to ensure that efforts advance well-being and policy broadly and reach the people who need them most.
WHAT YOU'LL DO:
This is a full-time (12 months per year) position with an anticipated duration of 2-3 years, subject to annual review and renewal based on performance and available funding. The position is based in Boston, MA, and requires regular in-person work. Flexible and hybrid arrangements (e.g., 1–2 days per week remote) may be considered; fully remote work is not available. Applicants must be authorized to work in the United States. The start date is negotiable. This position offers a competitive salary, excellent benefits, and opportunities for professional development, travel, and collaboration with leading researchers and partners.
The successful candidate will meaningfully contribute to advancing the development, expansion, and application of Food Compass across various partnerships. This may include research and activities related to:
- Updating and expanding the Food Compass algorithm according to the latest science, including expansion to include novel health-related bioactive attributes;
- Supporting ongoing work and manuscripts, including related data manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization;
- Leading analyses describing dietary intake in the United States and internationally using Food Compass and existing dietary data from major data sources, including the National Health and Nutrition Examination Survey (NHANES), the USDA Branded Foods Database, UK Biobank, and others;
- Collaborating with food retailers, healthcare systems, international health-focused government agencies, nutrition-focused venture capital firms and coalitions, and other organizations to advance the role of NPS in consumer education and the creation of a healthier and more equitable food environment;
- Disseminating research findings to relevant stakeholders, including the scientific community, food system leaders, legislative bodies, and advocacy groups and agencies.
The fellow will work within a close-knit, collegial multi-disciplinary team of other trainees, students, and staff within the Institute. In addition to mentoring from Dr. Dariush Mozaffarian, the fellow will interact with and gain knowledge and experience from a range of other expert faculty across the Institute and beyond. The fellow will also benefit from meetings, seminars, and coalitions of multi-sector leaders in Food is Medicine including healthcare, community-based, retail, policy, and advocacy organizations. The training program will emphasize the design and publication of original analyses and manuscripts as first author, career development, and transition toward an independent research career.
BASIC QUALIFICATIONS:
Candidates must possess a relevant medical or doctoral degree (MD, PhD, DrPH, ScD) in quantitative sciences (biostatistics, artificial intelligence, epidemiology, etc.), health sciences (e.g., medicine, nutrition, public health, etc.), or related professions (e.g., economics, public policy, business, law, etc.). Strong quantitative and data skills are a must. Ideal candidates will have demonstrated experience applying AI and machine learning tools to manage, clean, and code complex nutrient content and food product datasets. Experience with data visualizations, front of pack labeling, and nutrition policy would also be an asset.
Individuals who work well across disciplines, are collegial and collaborative, and have interest in the intersections of nutrition, information systems, health, medicine, and equity will particularly thrive in this role. Candidates must have a track record of successful interdisciplinary research as evidenced by multiple original, peer-reviewed research publications in a relevant field. We seek candidates whose work is relevant to diverse stakeholders in public and health sectors.
WHAT WE'RE LOOKING FOR:
Required education, experience and skills
Applicants must have an MD or doctoral degree (PhD, DrPH, ScD); additional training in biostatistics, coding, AI, epidemiology, nutrition, public health, economics, or related fields; and a record of original, first-author research publications in relevant areas. Candidates must have excellent quantitative/analytical research skills, strong written and oral communication skills, experience using analytic programs for data management and analysis (e.g., STATA, SPSS, SAS, R), and familiarity with AI tools for data processing, nutrient coding, and analysis of large food and dietary datasets, and the ability to work well independently and as part of a team with collaborators.
APPLICATION INSTRUCTIONS
A complete application will include; cover letter, CV, and names of three references (if available, reference letters welcomed). Applications should be submitted via Interfolio. Questions can be directed to Julia Sharib (julia.reedy@tufts.edu). Applications will be considered as they are received.
SALARY RANGE:
Minimum $67,500.00, Midpoint $72,875.00, Maximum $78,250.00
See all J-1 Visa Business Intelligence Analyst Jobs
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a Business Intelligence Analyst
Build a portfolio of documented BI deliverables
Designated sponsors evaluate your training plan against your existing skills. Compile dashboards, SQL queries, data models, or reports you've built so your host employer can write a concrete, tool-specific training plan rather than a vague one that risks DS-2019 rejection.
Confirm your program category before applying
Current students enrolled outside the U.S. typically qualify under the Intern category, while professionals with a degree and relevant work experience qualify as Trainees. Applying under the wrong category delays DS-2019 issuance and can void a host employer's offer.
Target host employers with structured analytics teams
Use Migrate Mate to filter for U.S. employers whose open Business Intelligence Analyst roles align with J-1 visa sponsorship, so you're applying to organizations already familiar with the host-employer responsibilities a designated sponsor will require them to fulfill.
Verify the host employer's E-Verify enrollment early
Most designated sponsors require host employers to be enrolled in E-Verify before issuing a DS-2019. Confirming enrollment before you receive a formal offer prevents a late-stage collapse of your placement if the employer isn't registered.
Map your training plan to O*NET task categories
Designated sponsors review your Individual Development Plan against recognized occupational standards. Structuring your training objectives around the Business Intelligence Analyst task list in O*NET gives sponsors a clear compliance framework and speeds DS-2019 approval.
Check the two-year home residency requirement upfront
J-1 participants whose home country or field appears on the Exchange Visitor Skills List may be required to return home for two years before changing to H-1B visa or green card status. Confirming your eligibility before accepting a host employer offer lets you plan your long-term U.S. career path accurately.
Business Intelligence Analyst J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Business Intelligence Analyst role?
The Trainee category fits most working professionals with a relevant degree and at least one year of post-graduation experience in data analytics or business intelligence. Current students completing a degree program typically qualify under the Intern category instead. The correct category determines your DS-2019 eligibility and the maximum duration of your placement, so confirm with your designated sponsor before a host employer extends a formal offer.
Who actually sponsors my J-1 visa - the employer or a separate organization?
Your J-1 visa sponsor is a U.S. Department of State-designated organization, not your employer. The designated sponsor, such as IIE, Cultural Vistas, or AIPT, issues your DS-2019, reviews your training plan, and monitors compliance throughout your stay. The company where you work as a Business Intelligence Analyst is your host employer, not your visa sponsor. These are two separate entities with separate legal responsibilities.
How do I find U.S. employers open to hosting J-1 Business Intelligence Analysts?
Migrate Mate lets you search for Business Intelligence Analyst roles at U.S. employers whose hiring patterns align with international exchange visitor placements. Because the host employer's willingness to fulfill designated sponsor requirements, including E-Verify enrollment and training plan obligations, varies widely, filtering for employers already accustomed to those responsibilities saves significant time compared to cold outreach.
Does the two-year home residency requirement apply to Business Intelligence Analysts?
It depends on your home country and funding source, not your job title. If your country appears on the DOS Exchange Visitor Skills List and business intelligence or data analytics falls within a listed field, or if your exchange program was government-funded, you may be subject to the two-year requirement. This can restrict your ability to change to H-1B or adjust status without first obtaining a waiver, so verify your specific situation with your designated sponsor before accepting a placement.
What does a J-1 training plan need to include for a BI Analyst placement?
Your designated sponsor requires a detailed Individual Development Plan outlining specific skills you'll develop, tools you'll use such as SQL, Power BI, or Tableau, and measurable learning objectives tied to each phase of your placement. Vague plans that describe general data work rather than defined competencies are the most common reason DS-2019 issuance is delayed. Your host employer drafts the plan, but you should review it against O*NET task descriptions for the Business Intelligence Analyst occupation to confirm it meets sponsor standards.