J-1 Visa Marketing Analytics Manager Jobs
Marketing Analytics Manager roles in the United States are typically accessible to exchange visitors under the J-1 visa Trainee or Specialist program category, depending on your career stage and home country experience. Securing J-1 sponsorship requires a designated sponsor organization to issue your DS-2019 before you can begin work with a U.S. host employer.
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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 Marketing Analytics Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa Marketing Analytics Manager Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a Marketing Analytics Manager
Align your credentials to specialty occupation standards
Before applying, verify your marketing analytics background maps to a recognized occupational profile. Pull the O*NET profile for Marketing Managers to confirm your degree field and years of experience match what U.S. host employers expect at the manager level.
Distinguish Trainee from Specialist eligibility early
J-1 Trainee status fits candidates with under five years of post-degree professional experience. If you have more, you likely qualify as a Specialist instead. Misidentifying your category delays DS-2019 issuance and can stall an otherwise complete application.
Target host employers with existing analytics infrastructure
Use Migrate Mate to filter for U.S. employers actively posting Marketing Analytics Manager roles, so you're approaching companies that already have the data tools, team structures, and budget cycles that support a structured J-1 training program.
Build a training plan that satisfies your designated sponsor
Your host employer must submit a detailed training or internship plan to the designated sponsor. For analytics roles, this means documenting specific rotations across data collection, dashboard development, and campaign attribution analysis rather than listing generic marketing tasks.
Confirm the 2-year home residency requirement before accepting an offer
Some J-1 participants from government-funded or skills-shortage countries must return home for two years before changing to most other visa categories. Check whether your country and field trigger this requirement before signing an offer with a U.S. host.
Negotiate offer timing around DS-2019 processing windows
Once your host employer agrees to sponsor, the designated sponsor still needs time to review training plans and issue the DS-2019. Build at least four to six weeks of buffer between your signed offer and your intended start date to avoid gaps.
Marketing Analytics Manager J-1 Visa: Frequently Asked Questions
Which J-1 program category applies to Marketing Analytics Manager positions?
Most Marketing Analytics Manager candidates qualify under the J-1 Trainee category if they have fewer than five years of post-degree professional experience in marketing or data analytics. Candidates with more experience, or those brought in for a highly specialized engagement, may qualify under the Specialist category instead. Your designated sponsor determines which category applies based on your documentation.
Who actually sponsors a J-1 visa for this role, the employer or someone else?
The hiring employer is the host organization, not the legal visa sponsor. J-1 sponsorship comes from a U.S. Department of State-designated sponsor organization such as CIEE, Cultural Vistas, or IIE. That sponsor reviews your training plan, issues the DS-2019 form, and monitors your exchange program throughout your stay. The host employer funds and designs the training; the sponsor certifies it.
How do I find U.S. employers willing to host a J-1 Marketing Analytics Manager?
Use Migrate Mate to search for Marketing Analytics Manager roles posted by U.S. employers that align with J-1 exchange visitor programs. Focus on mid-size to large companies with established marketing technology stacks, since those employers are more likely to have the infrastructure to support a formal training plan that a designated sponsor will approve.
Does a J-1 training plan for analytics roles need to cover specific tools or platforms?
Yes. Designated sponsors require a detailed, phase-by-phase training plan, not a general job description. For a Marketing Analytics Manager engagement, your plan should specify work in areas like attribution modeling, A/B test analysis, CRM data management, and reporting dashboards. Vague plans that simply list marketing duties are frequently sent back for revision, delaying your DS-2019.
Can the 2-year home residency requirement affect my J-1 plans as a marketing professional?
It can. The two-year home country physical presence requirement applies to J-1 participants whose skills appear on the Exchange Visitor Skills List for their country, or whose program was government-funded. Marketing analytics is sometimes listed for certain countries. If it applies to you, you cannot change to H-1B visa, L-1 visa, or adjust to permanent residence until you fulfill it or obtain a waiver through an approved channel.