J-1 Visa Business Data Analyst Jobs
Business Data Analyst roles in the United States are available to exchange visitors through J-1 visa sponsorship, most commonly under the Trainee or Intern program categories. Designated sponsors issue your DS-2019 and oversee your training plan, while your host employer provides the analytics work experience.
Find J-1 Visa Business Data Analyst JobsOverview
Showing 5 of 48+ Business Data Analyst jobs
See all 48+ Business Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Business Data Analyst roles.
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 48+ J-1 Visa Business Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa Business Data Analyst Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a Business Data Analyst
Align your academic credentials with SOC codes
Your designated sponsor's training plan must tie your analytics work directly to your degree field. Pull the Business Data Analyst O*NET profile and match your coursework to listed knowledge areas before submitting any program application.
Distinguish Intern from Trainee eligibility early
The Intern category requires current enrollment or graduation within the past 12 months. The Trainee category applies if you've been out of school longer. Misidentifying your category forces a restart with a different designated sponsor and delays your DS-2019.
Verify the host employer can support a structured training plan
Your host organization must document rotations, learning objectives, and supervisor oversight on your DS-7002 form. Small startups without dedicated data teams often can't satisfy this requirement, so confirm structured mentorship exists before accepting an offer.
Check whether your role triggers the two-year home residency requirement
Business Data Analyst positions funded by your home government or a U.S. government agency, or in fields on your home country's skills list, may carry the two-year home-country residency requirement. Confirm your situation with your designated sponsor before signing an offer letter.
Use Migrate Mate to find J-1 receptive analytics employers
Many host employers have no public J-1 visa hiring policy. Use Migrate Mate to surface U.S. companies actively open to exchange visitors in data and analytics roles, so you're targeting organizations already familiar with DS-2019 requirements.
Confirm prevailing wage compliance before your training plan is filed
Your designated sponsor is required to verify your compensation meets applicable wage standards. Cross-reference the OFLC Wage Search for your role's SOC code and work location before your program start date to avoid delays in DS-2019 issuance.
Business Data Analyst J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Business Data Analyst role?
Current students or recent graduates within 12 months of completing a degree in a related field - such as statistics, information systems, or business analytics - typically qualify under the Intern category. Professionals who graduated more than 12 months ago and have prior work experience in data analysis apply under the Trainee category. Your designated sponsor confirms which applies based on your timeline and credentials.
Who actually sponsors my J-1 visa for a data analyst position?
Your J-1 visa sponsor is a U.S. Department of State-designated organization, not your employer. The designated sponsor issues your DS-2019, approves your training plan, and monitors program compliance throughout your exchange. The company where you analyze data is your host employer, not your visa sponsor. Organizations such as CIEE, Cultural Vistas, and AIPT operate in this sponsor role for professional-category programs.
What goes into a J-1 training plan for a data analyst?
Your DS-7002 training plan must detail specific learning objectives, the analytical tools and methodologies you'll use, scheduled evaluation intervals, and a named supervisor. Generic descriptions like 'assist with reporting' are insufficient. Designated sponsors expect the plan to demonstrate how each phase of your placement advances a defined skill set tied to your field of study or prior work experience.
How do I find U.S. employers open to hosting a J-1 data analyst?
Most host employers don't advertise J-1 openness in job postings. Migrate Mate lets you search for U.S. analytics roles at companies familiar with exchange visitor programs, saving you from approaching employers who have no existing relationship with a designated sponsor. Targeting organizations that already understand the DS-2019 process shortens your path from offer to program start.
Does the two-year home residency requirement affect Business Data Analyst J-1 participants?
It depends on three factors: whether your home government funded your exchange, whether your home country lists data analytics as a skills-shortage field, and whether U.S. government funding is involved in your program. If any apply, you may be required to return home for two years before changing to H-1B visa or green card status. Your designated sponsor can review your specific situation before you accept a placement.