J-1 Visa Analytics Manager Jobs
Analytics Manager roles in the United States are accessible to international professionals through the J-1 visa Trainee or Research Scholar program categories, depending on your career stage and host organization. Securing J-1 sponsorship requires a designated State Department sponsor organization to issue your DS-2019 before you can begin work.
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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 Analytics Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa Analytics Manager Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an Analytics Manager
Frame your credentials around specialty occupation standards
Analytics Manager positions typically require a degree in statistics, data science, economics, or a related quantitative field. Document that alignment clearly in your CV and training plan before approaching host employers, since designated sponsors review your credentials when issuing the DS-2019.
Target host employers with existing J-1 infrastructure
Search for organizations that have hosted J-1 Trainees or Research Scholars in analytical roles before. Companies with established foreign national hiring processes are far more likely to coordinate with a designated sponsor and sign off on a structured training plan.
Use Migrate Mate to find J-1-aligned Analytics Manager roles
Filter your job search by employers open to J-1 exchange visitors in analytics and data functions. Migrate Mate surfaces U.S. host employers where J-1 sponsorship pathways are realistic, saving you from pitching organizations unfamiliar with the program.
Verify the two-year home residency requirement early
Certain J-1 participants, particularly those funded by their home government or whose skills appear on the Exchange Visitor Skills List, face a two-year home residency requirement before changing to most other U.S. visa categories. Confirm your status with USCIS and your designated sponsor before accepting any offer.
Build a training plan matched to analytics competency gaps
Designated sponsors require a formal training plan outlining the skills you'll develop as a J-1 Trainee or Specialist. For Analytics Manager roles, structure that plan around specific technical or leadership competencies, such as advanced modeling, cross-functional reporting, or data governance, rather than listing generic job duties.
Coordinate the DS-2019 timeline with your offer negotiation
Once a host employer agrees to the arrangement, your designated sponsor issues the DS-2019, which you need before scheduling a visa interview. Build at least four to eight weeks into your start-date negotiation to allow time for sponsor review, training plan approval, and SEVIS fee payment.
Analytics Manager J-1 Visa: Frequently Asked Questions
Which J-1 program category applies to Analytics Manager positions?
It depends on your career stage. The J-1 Trainee category fits professionals with a degree plus at least one year of post-graduation work experience who are developing specific analytical competencies at a U.S. host employer. The Research Scholar or Specialist category applies if the role is based at a university, think tank, or research institution focused on data-driven inquiry rather than commercial analytics operations.
Who actually sponsors my J-1 visa for an Analytics Manager role?
Your visa sponsor is a U.S. Department of State-designated organization, not your employer. Organizations like IIE, Cultural Vistas, and CIEE act as the official sponsor by issuing your DS-2019, enrolling you in SEVIS, and monitoring your program compliance. The company or institution where you perform the analytics work is the host employer, not the sponsor. Both parties must agree to the arrangement before the process can proceed.
How do I find U.S. employers open to hosting J-1 Analytics Managers?
Most employers are unfamiliar with the J-1 Trainee structure, so targeting organizations with prior experience hosting international exchange visitors significantly improves your odds. Migrate Mate lets you search for U.S. employers and Analytics Manager roles where J-1 sponsorship pathways are a realistic fit, so you spend time on opportunities with genuine potential rather than educating employers from scratch.
Does the two-year home residency requirement affect Analytics Manager J-1 participants?
It can. If your J-1 program is financed by your home government, your home country's government, or the U.S. government, or if your field of expertise appears on the Exchange Visitor Skills List for your country, you're subject to the two-year home residency requirement. This means you'd need to return home for two years, or obtain a waiver, before switching to an H-1B visa, L-1 visa, or immigrant visa. USCIS and your designated sponsor can confirm whether the requirement applies to you.
What should my J-1 training plan include for an Analytics Manager role?
Designated sponsors require a structured training plan that specifies the competencies you'll develop, the methods of instruction, and the supervision structure. For an Analytics Manager position, your plan should identify concrete skill gaps, such as advanced predictive modeling, business intelligence tool proficiency, or data governance leadership, and map each to specific activities at the host employer. Generic job descriptions are routinely rejected, so be precise about measurable learning outcomes.