J-1 Visa Supply Chain Analytics Jobs
Supply Chain Analytics roles in the United States are accessible to exchange visitors through the J-1 visa Trainee or Intern program categories, depending on your career stage. Designated sponsor organizations issue the DS-2019 and oversee your training plan. Finding a host employer willing to work within J-1 sponsorship requirements is the critical first step.
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Get Access To All JobsBusiness Intelligence (BI) Analytics Intern
Location: San Mateo, CA (Hybrid)
Duration: Summer 2026 (12 weeks)
Compensation: $5K/mo
Reports to: Head of RevOps
Company: Bedrock Data
About Bedrock
Data is moving faster than security can keep up, fragmented across clouds, SaaS apps, and AI systems, without the context teams need to protect it. Bedrock Data built the industry's first Metadata Lake to solve this: a living map of all your data that shows what it is, where it lives, who's using it, and how sensitive it is, without ever moving the data itself. This lets enterprises automate security and governance at scale, making data protection continuous and invisible instead of manual and disruptive. Global leaders in technology, finance, healthcare, and biotech trust Bedrock Data to make data security operational. With a $25M Series A led by Greylock, Bedrock is led by repeat founders and technologists who built industry-leading enterprise platforms at Sumo Logic, Rubrik, and Cohesity. Learn more at bedrockdata.ai.
The Role
As our BI Analytics Intern, you won't just be pulling data, you will be building the systems that allow our team to understand it. You will play a foundational role in standing up our analytics environment in Salesforce, extracting actionable insights from transcripts, and establishing a source of truth for our internal data assets to ensure our Sales and Finance teams are completely aligned.
Key Responsibilities
Sales & Forecasting Dashboards: Take the lead on designing and deploying custom analytics within Salesforce. You will establish KPI reporting for pipeline health and sales velocity, and build robust forecasting dashboards to give leadership clear visibility into projected revenue and quota attainment. Audit existing Salesforce data quality and work with stakeholders to clean, normalize, and structure data for reliable reporting
Finance & RevOps Reporting: Bridge the gap between sales activity and financial performance. You will design finance dashboards in Salesforce to track critical metrics (e.g., ARR, pipeline, and win rates), ensuring the Finance team has real-time access to accurate, reliable data. You will help establish a cadence of automated, self-serve reporting for the Sales and Finance leadership teams
Transcript & LLM Data Integration: You will analyze LLM-generated transcripts, summaries, and sales call data to uncover trends in buyer sentiment, objection handling, and win/loss drivers.
Build the Internal Data Repository: Establish and structure an internal knowledge repository. You will document data models and build a data dictionary to ensure our analytics practices are scalable and easily accessible to the rest of the company.
Cross-Functional Collaboration: Partner directly with Sales, Finance, RevOps, and Product teams to understand their unique data needs and translate business questions into technical requirements.
What We’re Looking For
Education: Currently pursuing (or recently graduated with) a degree in Business Analytics, Finance, Data Science, Information Systems, Economics, or a related field.
Business Acumen: A solid understanding of basic sales and financial metrics (pipeline coverage, forecasting, ARR).
AI Curiosity: A strong interest in Large Language Models (LLMs) and how conversational AI is transforming business intelligence.
Organizational Skills: A systems-thinker who enjoys building structured documentation and keeping complex information organized.
Bonus Points
Familiarity with Python or R for data manipulation.
Familiarity in SQL and experience with data visualization tools.
Prior exposure to Salesforce (or similar CRM platforms); you understand how sales and revenue data is structured (Leads, Opportunities, Accounts).
Curiosity building foundational analytics.
What You’ll Get Out of It
High-Impact Projects: You will build revenue and data infrastructure that the company will rely on long after your internship ends.
Mentorship: Work closely with senior leaders across multiple departments (Sales, Finance, Ops) who are invested in your growth.
Hands-on AI Experience: Real-world experience analyzing unstructured data using cutting-edge LLM tooling.
Business Intelligence (BI) Analytics Intern
Location: San Mateo, CA (Hybrid)
Duration: Summer 2026 (12 weeks)
Compensation: $5K/mo
Reports to: Head of RevOps
Company: Bedrock Data
About Bedrock
Data is moving faster than security can keep up, fragmented across clouds, SaaS apps, and AI systems, without the context teams need to protect it. Bedrock Data built the industry's first Metadata Lake to solve this: a living map of all your data that shows what it is, where it lives, who's using it, and how sensitive it is, without ever moving the data itself. This lets enterprises automate security and governance at scale, making data protection continuous and invisible instead of manual and disruptive. Global leaders in technology, finance, healthcare, and biotech trust Bedrock Data to make data security operational. With a $25M Series A led by Greylock, Bedrock is led by repeat founders and technologists who built industry-leading enterprise platforms at Sumo Logic, Rubrik, and Cohesity. Learn more at bedrockdata.ai.
The Role
As our BI Analytics Intern, you won't just be pulling data, you will be building the systems that allow our team to understand it. You will play a foundational role in standing up our analytics environment in Salesforce, extracting actionable insights from transcripts, and establishing a source of truth for our internal data assets to ensure our Sales and Finance teams are completely aligned.
Key Responsibilities
Sales & Forecasting Dashboards: Take the lead on designing and deploying custom analytics within Salesforce. You will establish KPI reporting for pipeline health and sales velocity, and build robust forecasting dashboards to give leadership clear visibility into projected revenue and quota attainment. Audit existing Salesforce data quality and work with stakeholders to clean, normalize, and structure data for reliable reporting
Finance & RevOps Reporting: Bridge the gap between sales activity and financial performance. You will design finance dashboards in Salesforce to track critical metrics (e.g., ARR, pipeline, and win rates), ensuring the Finance team has real-time access to accurate, reliable data. You will help establish a cadence of automated, self-serve reporting for the Sales and Finance leadership teams
Transcript & LLM Data Integration: You will analyze LLM-generated transcripts, summaries, and sales call data to uncover trends in buyer sentiment, objection handling, and win/loss drivers.
Build the Internal Data Repository: Establish and structure an internal knowledge repository. You will document data models and build a data dictionary to ensure our analytics practices are scalable and easily accessible to the rest of the company.
Cross-Functional Collaboration: Partner directly with Sales, Finance, RevOps, and Product teams to understand their unique data needs and translate business questions into technical requirements.
What We’re Looking For
Education: Currently pursuing (or recently graduated with) a degree in Business Analytics, Finance, Data Science, Information Systems, Economics, or a related field.
Business Acumen: A solid understanding of basic sales and financial metrics (pipeline coverage, forecasting, ARR).
AI Curiosity: A strong interest in Large Language Models (LLMs) and how conversational AI is transforming business intelligence.
Organizational Skills: A systems-thinker who enjoys building structured documentation and keeping complex information organized.
Bonus Points
Familiarity with Python or R for data manipulation.
Familiarity in SQL and experience with data visualization tools.
Prior exposure to Salesforce (or similar CRM platforms); you understand how sales and revenue data is structured (Leads, Opportunities, Accounts).
Curiosity building foundational analytics.
What You’ll Get Out of It
High-Impact Projects: You will build revenue and data infrastructure that the company will rely on long after your internship ends.
Mentorship: Work closely with senior leaders across multiple departments (Sales, Finance, Ops) who are invested in your growth.
Hands-on AI Experience: Real-world experience analyzing unstructured data using cutting-edge LLM tooling.
See all J-1 Visa Supply Chain Analytics Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa Supply Chain Analytics Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Supply Chain Analytics
Frame your credentials around training objectives
J-1 Trainee program applications require a detailed training plan, not just a resume. Translate your supply chain analytics experience into measurable learning objectives your host employer can document and your designated sponsor can approve.
Target companies with active training programs
Host employers in logistics, manufacturing, and retail operations are most likely to have structured training frameworks that satisfy J-1 Trainee requirements. Focus your search on mid-to-large firms with formal analytics or supply chain rotational programs.
Search J-1-friendly roles using Migrate Mate
Use Migrate Mate to filter Supply Chain Analytics positions at U.S. employers that have hosted J-1 exchange visitors before. Targeting hosts with prior J-1 experience shortens the onboarding process with your designated sponsor significantly.
Verify the prevailing wage before accepting an offer
Your designated sponsor and host employer must ensure your compensation meets program standards. Use the OFLC Wage Search to confirm the prevailing wage for supply chain analyst roles in your target city before you accept any offer.
Clarify the two-year home residency requirement early
Some J-1 categories carry a two-year home-country residency requirement, which affects your ability to change status or get an H-1B visa afterward. Confirm with your designated sponsor whether your specific situation triggers this rule before signing a training plan.
Align your DS-2019 dates with your project timeline
Designated sponsors issue the DS-2019 for a fixed period. If your supply chain analytics project extends beyond that window, you'll need an extension filed before the end date. Build this into your negotiation with the host employer from the start.
Supply Chain Analytics J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Supply Chain Analytics role?
It depends on your career stage. Current students or recent graduates within 12 months of completing a degree typically use the J-1 Intern category. Professionals with at least one year of prior experience in supply chain or analytics qualify for the J-1 Trainee category, which allows placements up to 18 months and requires a formal training plan signed by both the host employer and the designated sponsor.
Who actually sponsors the J-1 visa for a supply chain analytics position?
The visa sponsor is a U.S. Department of State-designated organization, not your employer. Organizations like IIE, Cultural Vistas, or AIPT issue the DS-2019 form, approve your training plan, and monitor compliance throughout your placement. Your hiring company is the host employer. The host agrees to the training objectives but does not control or issue the visa itself.
How do I find U.S. employers willing to host J-1 exchange visitors in supply chain analytics?
Migrate Mate lets you search for Supply Chain Analytics roles at employers that have previously hosted J-1 exchange visitors, which filters out companies unfamiliar with the training plan process. Targeting hosts with J-1 experience reduces friction because they already understand what the designated sponsor requires in terms of documentation, supervision, and workplace monitoring.
Does the J-1 Trainee program work for data-heavy supply chain analytics roles, or is it limited to hands-on operations?
The J-1 Trainee program covers supply chain management and business fields, which includes analytics, forecasting, inventory optimization, and logistics modeling. The training plan must show that the skills you are developing are not available in your home country to the same degree. Roles centered on demand planning software, ERP systems, or quantitative modeling typically satisfy this requirement without issue.
What happens to my J-1 status if my supply chain analytics project ends early or the host employer's needs change?
If your placement ends before the DS-2019 expiration date, your designated sponsor must be notified immediately. You have a 30-day grace period after the program end date to prepare to depart the U.S., but no work is permitted during that window. If a new host employer is lined up, your designated sponsor may be able to transfer or reissue a DS-2019, but this requires a new training plan and approval before you begin.