J-1 Visa Business Intelligence Engineer Jobs
Business Intelligence Engineer roles in the United States are accessible to exchange visitors through J-1 visa sponsorship, most commonly under the Trainee or Research Scholar program category. Designated sponsor organizations issue the DS-2019, while the hiring company serves as your host employer. No lottery or annual cap applies.
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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 33+ J-1 Visa Business Intelligence Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa Business Intelligence Engineer Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a Business Intelligence Engineer
Document your BI credentials precisely
Your DS-2019 training plan must map your degree and work history to specific BI competencies like data modeling, ETL pipeline design, or visualization tools. Vague credentials slow sponsor review and risk program category mismatches.
Distinguish Trainee from Research Scholar eligibility
Trainee status fits BI engineers within five years of graduation or with equivalent professional experience. Research Scholar applies if your role centers on independent data research at a university or research institution rather than commercial analytics work.
Target host employers with data infrastructure teams
Companies running large-scale data warehouses, cloud analytics platforms, or enterprise BI tooling are more likely to coordinate with a designated sponsor. Use Migrate Mate to filter roles at employers already familiar with J-1 visa host arrangements.
Verify prevailing wage compliance before accepting an offer
Your host employer must pay at or above the DOL prevailing wage for your occupation and location. Run your job title and ZIP code through the OFLC Wage Search before signing an offer to confirm the salary meets program requirements.
Confirm the two-year home residency requirement early
BI engineers sponsored through government-funded programs or from certain countries may be subject to the two-year home residency requirement under INA 212(e). Ask the designated sponsor whether your specific situation triggers this obligation before accepting a position.
Align your training plan with O*NET task descriptions
Designated sponsors use occupational standards when evaluating your DS-2019 training plan. Cross-referencing your proposed activities with the O*NET profile for Business Intelligence Analysts strengthens your program justification and reduces back-and-forth with the sponsor.
Business Intelligence Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Business Intelligence Engineer role?
Most BI engineers qualify under the Trainee category if they're within five years of graduation or have equivalent professional experience in data analytics or software engineering. If the role is based at a university or research institute and involves independent research into data systems or analytical methodologies, Research Scholar may apply instead. The hiring employer's organizational type and your specific responsibilities determine which category the designated sponsor will approve.
Who actually sponsors the J-1 visa for a BI engineering position?
The J-1 visa sponsor is a U.S. Department of State-designated organization, not the hiring employer. Organizations like IIE, Cultural Vistas, and AIPT issue the DS-2019 form, monitor your program compliance, and maintain the official sponsor relationship with the State Department. Your employer functions as the host organization, providing the work environment and training activities outlined in the program plan.
How do I find U.S. employers willing to host a J-1 Business Intelligence Engineer?
Search for BI roles at companies that explicitly mention J-1 host arrangements or have existing relationships with designated sponsor organizations. Migrate Mate lets you filter open positions by visa sponsorship type, making it easier to identify host employers in data engineering, analytics, and technology sectors who are already set up to work with a J-1 sponsor.
What does the training plan for a J-1 BI Engineer need to include?
The designated sponsor requires a structured training plan, typically on Form DS-7002, that outlines specific learning objectives, the BI tools and methodologies you'll use, supervision arrangements, and a week-by-week or phase-by-phase schedule. Activities should be tied to defined competencies such as SQL querying, dashboard development, data pipeline optimization, or statistical modeling. Generic descriptions of day-to-day tasks are usually insufficient and can delay DS-2019 issuance.
Does the two-year home residency requirement affect J-1 BI Engineers?
It can. The two-year home residency requirement under INA 212(e) applies if your J-1 program is funded by your home government or the U.S. government, or if your home country is on the State Department's Exchange Visitor Skills List. BI engineering appears on some countries' skills lists. If the requirement applies, you must return to your home country for two years before changing to most immigrant or nonimmigrant statuses, unless you obtain a waiver.