H-1B Visa Marketing Data Analyst Jobs
Marketing Data Analyst roles qualify for H-1B visa sponsorship as specialty occupations requiring at least a bachelor's degree in marketing, statistics, or a related field. Employers file the Labor Condition Application with DOL before petitioning USCIS, and the annual cap means timing your job search around the April lottery window matters.
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AfterShip, a Great Place to Work Certified company, is transforming the global eCommerce landscape. Founded in 2012, AfterShip is a post-purchase SaaS company on a mission to build the world's leading automation platform for ecommerce merchants.
AfterShip unifies shipping & labels, order tracking, AI predictive delivery, and returns management into one system - giving merchants a single place to manage and automate everything that happens after checkout. By centralizing these workflows, AfterShip enables merchants to reduce customer support inquiries, deliver a more reliable and engaging customer experience, and unlock incremental revenue at every post-purchase touchpoint.
AfterShip integrates seamlessly with eCommerce platforms including Shopify and TikTok Shop, and connects with more than 1,200 carriers worldwide. Today, over 20,000 businesses—including Samsung, Gymshark, Mejuri, Dr. Squatch, and Alo Yoga—rely on AfterShip to turn every post-purchase moment into an opportunity to build trust, reduce costs, and drive repeat purchases.
Built for a global market from day one, AfterShip operates with an engineering-driven, internationally distributed team. The company employs more than 450 people across 8 offices, spanning North America, Europe, and Asia, and representing over 20 cities worldwide.
Your Mission:
We're looking for a Senior Marketing Data Analyst to turn complex data into actionable growth strategies. This role goes beyond reporting. It's about understanding customer behavior, optimizing marketing spend, and improving performance across channels.
You will act as the analytical engine of the marketing team, translating data into insights that drive decision-making. You'll optimize campaign performance, improve customer acquisition cost (CAC), and maximize lifetime value (LTV), while owning the source of truth for marketing performance.
You'll work cross-functionally to drive impact across the business:
- Product Marketing Manager (PMM): Partner closely to assess product-market fit, analyze feature adoption, evaluate pricing, and measure go-to-market performance
- Marketing (Brand, Content, Social): Quantify top-of-funnel impact and connect brand efforts to conversion outcomes
- Sales/CRM: Support lead scoring and retention optimization
- Finance: Align marketing spend with revenue performance and LTV
You'll report to the Data Analyst Manager and be part of the Data Engineering pod. This role may require collaboration across global teams outside of standard working hours 2-3 times per week.
What You'll Do:
- Brand & Content Attribution: Work with the Marketing Team to build frameworks that measure the halo effect of brand campaigns and content marketing on organic growth and direct traffic.
- Funnel Optimization: Analyze the end-to-end customer journey—from the first touchpoint seen by the Marketing team to the final conversion event tracked by Product—to identify and fix leakage points.
- Audience Segmentation: Develop sophisticated customer segments based on behavioral data to help PMMs and Creative teams tailor their messaging for higher resonance.
- GTM & Launch Analytics: Partner with Product Marketing to define KPIs for new feature launches and track post-launch adoption rates to refine target personas.
- Data Infrastructure: Lead the initial setup and optimization of our marketing data warehouse. You will partner with engineering to ensure data from various sources (Ads, CRM, Product) is flowing, transformed, and ready for analysis.
- Holistic Reporting: Maintain a centralized "Marketing Source of Truth" dashboard that balances performance marketing (CAC/ROAS) with brand health and product engagement metrics.
Who We're Looking For:
- Experience: 7+ years in marketing analytics, growth analytics, or data science (preferably in a B2B SaaS or high-growth B2C environment).
- Toolbox: Proficiency in visualization tools (Tableau), web analytics platforms (GA4, Heap, or Amplitude), CRM system (HubSpot), and SQL.
- Statistical Foundation: A solid grasp of statistical concepts (regression, $p$-values, confidence intervals) and how they apply to marketing spend.
- The Entrepreneurial Builder: You thrive in "zero-to-one" environments. You aren't looking for a perfectly polished data stack; you're excited by the opportunity to roll up your sleeves, architect the data warehouse from the ground up, and define the metrics that will govern our future.
- A "High-Agency" Operator: When you see a gap in our data or a flaw in our tracking, you don't wait for a ticket to be assigned. You own the solution. You are comfortable navigating ambiguity and can pivot quickly as our business scales.
- The Full-Stack Thinker: You possess the rare ability to switch between "Builder Mode" (setting up pipelines, ETLs, and data schemas) and "Insight Mode" (advising PMMs on GTM strategy). You understand that great analysis is only possible on a foundation of clean, reliable data.
- Language Skills: Fluency in English (required), fluency in Mandarin a plus.
At AfterShip, we know great talent doesn't always fit every requirement. If you're passionate about our mission and believe you can make an impact, we encourage you to apply.
Why You Should Join Us:
- Great Place to Work Certified: We've been recognized for our inclusive, values-driven culture that celebrates diversity and collaboration.
- Innovative & Inclusive Culture: Started by our software engineer-turned-CEO, AfterShip is built on curiosity, creativity, and collaboration. We're a passionate, global team of problem solvers who put egos aside to innovate together. We take immense pride in fostering a culture that's inclusive, which has allowed us to surround ourselves with the industry's most talented professionals.
- Ambitious Mission with Real Impact: Join us in transforming eCommerce by making buying and selling easier for everyone. It's one of the most dynamic spaces in tech, with limitless opportunities to innovate and grow.
- Thrive & Grow: There's no ceiling to what you can achieve or learn here. We're committed to empowering your career while advancing together as a company.
- Flexible Work Setup: We're a remote-first team, meaning by default that employees work from home or on a hybrid-flexible basis in our hub locations (i.e., Toronto, Austin, Barcelona). You're empowered to choose a work setup that works best for you and your team. With flexible hours depending on your time zone, you'll be able to have a schedule that fits your working style and the requirements of your role.
Perks:
- Competitive compensation
- Remote-first work setups
- Healthcare coverage offered from day 1
- Retirement plans including company match
- Unlimited PTO
- Annual learning & wellness benefit
- Monthly book perk
- Career progression & professional development
- In-office lunch and commuter benefits for those located in our hub locations
Salary range for this role: USD $157,000 - $180,000
We are an equal opportunity employer and provide accommodations upon request throughout the recruitment process, in accordance with local legislation. Please let us know if you require any support, and we'll work with you to meet your needs.
We believe in hiring right over hiring fast. While timelines may vary, we're looking to fill this role as soon as possible.
Our hiring process uses AI to help with initial resume screening and to support interview note-taking. These tools help our team stay organized and fair, but all hiring decisions are made by people.
This job posting is for a new position.
About us
AfterShip, a Great Place to Work Certified company, is transforming the global eCommerce landscape. Founded in 2012, AfterShip is a post-purchase SaaS company on a mission to build the world's leading automation platform for ecommerce merchants.
AfterShip unifies shipping & labels, order tracking, AI predictive delivery, and returns management into one system - giving merchants a single place to manage and automate everything that happens after checkout. By centralizing these workflows, AfterShip enables merchants to reduce customer support inquiries, deliver a more reliable and engaging customer experience, and unlock incremental revenue at every post-purchase touchpoint.
AfterShip integrates seamlessly with eCommerce platforms including Shopify and TikTok Shop, and connects with more than 1,200 carriers worldwide. Today, over 20,000 businesses—including Samsung, Gymshark, Mejuri, Dr. Squatch, and Alo Yoga—rely on AfterShip to turn every post-purchase moment into an opportunity to build trust, reduce costs, and drive repeat purchases.
Built for a global market from day one, AfterShip operates with an engineering-driven, internationally distributed team. The company employs more than 450 people across 8 offices, spanning North America, Europe, and Asia, and representing over 20 cities worldwide.
Your Mission:
We're looking for a Senior Marketing Data Analyst to turn complex data into actionable growth strategies. This role goes beyond reporting. It's about understanding customer behavior, optimizing marketing spend, and improving performance across channels.
You will act as the analytical engine of the marketing team, translating data into insights that drive decision-making. You'll optimize campaign performance, improve customer acquisition cost (CAC), and maximize lifetime value (LTV), while owning the source of truth for marketing performance.
You'll work cross-functionally to drive impact across the business:
- Product Marketing Manager (PMM): Partner closely to assess product-market fit, analyze feature adoption, evaluate pricing, and measure go-to-market performance
- Marketing (Brand, Content, Social): Quantify top-of-funnel impact and connect brand efforts to conversion outcomes
- Sales/CRM: Support lead scoring and retention optimization
- Finance: Align marketing spend with revenue performance and LTV
You'll report to the Data Analyst Manager and be part of the Data Engineering pod. This role may require collaboration across global teams outside of standard working hours 2-3 times per week.
What You'll Do:
- Brand & Content Attribution: Work with the Marketing Team to build frameworks that measure the halo effect of brand campaigns and content marketing on organic growth and direct traffic.
- Funnel Optimization: Analyze the end-to-end customer journey—from the first touchpoint seen by the Marketing team to the final conversion event tracked by Product—to identify and fix leakage points.
- Audience Segmentation: Develop sophisticated customer segments based on behavioral data to help PMMs and Creative teams tailor their messaging for higher resonance.
- GTM & Launch Analytics: Partner with Product Marketing to define KPIs for new feature launches and track post-launch adoption rates to refine target personas.
- Data Infrastructure: Lead the initial setup and optimization of our marketing data warehouse. You will partner with engineering to ensure data from various sources (Ads, CRM, Product) is flowing, transformed, and ready for analysis.
- Holistic Reporting: Maintain a centralized "Marketing Source of Truth" dashboard that balances performance marketing (CAC/ROAS) with brand health and product engagement metrics.
Who We're Looking For:
- Experience: 7+ years in marketing analytics, growth analytics, or data science (preferably in a B2B SaaS or high-growth B2C environment).
- Toolbox: Proficiency in visualization tools (Tableau), web analytics platforms (GA4, Heap, or Amplitude), CRM system (HubSpot), and SQL.
- Statistical Foundation: A solid grasp of statistical concepts (regression, $p$-values, confidence intervals) and how they apply to marketing spend.
- The Entrepreneurial Builder: You thrive in "zero-to-one" environments. You aren't looking for a perfectly polished data stack; you're excited by the opportunity to roll up your sleeves, architect the data warehouse from the ground up, and define the metrics that will govern our future.
- A "High-Agency" Operator: When you see a gap in our data or a flaw in our tracking, you don't wait for a ticket to be assigned. You own the solution. You are comfortable navigating ambiguity and can pivot quickly as our business scales.
- The Full-Stack Thinker: You possess the rare ability to switch between "Builder Mode" (setting up pipelines, ETLs, and data schemas) and "Insight Mode" (advising PMMs on GTM strategy). You understand that great analysis is only possible on a foundation of clean, reliable data.
- Language Skills: Fluency in English (required), fluency in Mandarin a plus.
At AfterShip, we know great talent doesn't always fit every requirement. If you're passionate about our mission and believe you can make an impact, we encourage you to apply.
Why You Should Join Us:
- Great Place to Work Certified: We've been recognized for our inclusive, values-driven culture that celebrates diversity and collaboration.
- Innovative & Inclusive Culture: Started by our software engineer-turned-CEO, AfterShip is built on curiosity, creativity, and collaboration. We're a passionate, global team of problem solvers who put egos aside to innovate together. We take immense pride in fostering a culture that's inclusive, which has allowed us to surround ourselves with the industry's most talented professionals.
- Ambitious Mission with Real Impact: Join us in transforming eCommerce by making buying and selling easier for everyone. It's one of the most dynamic spaces in tech, with limitless opportunities to innovate and grow.
- Thrive & Grow: There's no ceiling to what you can achieve or learn here. We're committed to empowering your career while advancing together as a company.
- Flexible Work Setup: We're a remote-first team, meaning by default that employees work from home or on a hybrid-flexible basis in our hub locations (i.e., Toronto, Austin, Barcelona). You're empowered to choose a work setup that works best for you and your team. With flexible hours depending on your time zone, you'll be able to have a schedule that fits your working style and the requirements of your role.
Perks:
- Competitive compensation
- Remote-first work setups
- Healthcare coverage offered from day 1
- Retirement plans including company match
- Unlimited PTO
- Annual learning & wellness benefit
- Monthly book perk
- Career progression & professional development
- In-office lunch and commuter benefits for those located in our hub locations
Salary range for this role: USD $157,000 - $180,000
We are an equal opportunity employer and provide accommodations upon request throughout the recruitment process, in accordance with local legislation. Please let us know if you require any support, and we'll work with you to meet your needs.
We believe in hiring right over hiring fast. While timelines may vary, we're looking to fill this role as soon as possible.
Our hiring process uses AI to help with initial resume screening and to support interview note-taking. These tools help our team stay organized and fair, but all hiring decisions are made by people.
This job posting is for a new position.
See all 528+ H-1B Visa Marketing Data Analyst Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Marketing Data Analyst
Verify your degree field aligns correctly
USCIS requires your degree to directly relate to the role. A marketing or statistics degree is straightforward, but a general business degree may trigger an RFE. Document any analytics coursework or certifications that strengthen the specialty occupation argument before your employer files.
Target employers with LCA filing history
Search DOL's OFLC Wage Search to confirm a company has filed Labor Condition Applications for marketing analyst roles specifically. Prior filings show the employer understands the H-1B process, which reduces delays caused by inexperienced HR teams learning the requirements from scratch.
Use Migrate Mate to filter verified sponsors
Migrate Mate surfaces employers with documented H-1B filing history for data and analytics roles, so you're not cold-applying to companies that have never sponsored. Filter by role type to find Marketing Data Analyst positions at organizations already familiar with the sponsorship workflow.
Check your role's SOC code before negotiating
Marketing Data Analysts often fall under SOC 15-2051 or 13-1161 depending on how the employer classifies the role. The SOC code determines prevailing wage level on the LCA. Confirm which classification applies before your offer letter is finalized so the wage complies from the start.
Negotiate offer timing around the H-1B cap
Cap-subject petitions must be filed in April for an October 1 start date. If you receive an offer in June, you're waiting nearly a year for the next filing window. Discuss a start date structure with your employer that accounts for this gap, or ask whether they qualify as a cap-exempt organization.
Request premium processing if timelines are tight
USCIS offers premium processing for H-1B petitions, reducing adjudication to roughly 15 business days. If your OPT end date or current status has limited runway, ask your employer explicitly to include premium processing when they file the I-129 petition on your behalf.
H-1B Visa Marketing Data Analyst: Frequently Asked Questions
Does a Marketing Data Analyst role qualify as a specialty occupation for H-1B?
Yes, in most cases. USCIS looks for a direct relationship between the position and a specific bachelor's-level field such as marketing analytics, statistics, or data science. If the job description lists broad responsibilities that any business graduate could perform, the employer may need to document why the role requires a specialized degree to avoid an RFE.
How do I find employers who actually sponsor H-1B visas for marketing analytics roles?
Use Migrate Mate to search Marketing Data Analyst positions filtered by verified H-1B sponsorship history. You can also cross-reference DOL's OFLC disclosure data to confirm a company has filed Labor Condition Applications for similar job titles. Prior LCA filings are the clearest signal that an employer has an established sponsorship process.
What happens to my H-1B status if my Marketing Data Analyst job description changes significantly?
A material change in duties, work location, or employment terms can require your employer to file an amended H-1B petition with USCIS before the change takes effect. Moving from a primarily analytical role to one with substantial managerial duties, or shifting to a remote location in a different metro area, typically triggers an amendment filing requirement.
Can I work on marketing analytics projects for a client site on my H-1B?
Yes, but with conditions. If you're placed at a third-party client location, your employer must maintain a valid employer-employee relationship and file an LCA covering the client's work location. USCIS scrutinizes third-party placement arrangements closely, so the petition should clearly document supervision, control, and the duration of the client assignment.
Which O*NET occupation code applies to Marketing Data Analyst roles for H-1B purposes?
Marketing Data Analyst positions most commonly map to O*NET code 15-2051 for data scientists or 13-1161 for market research analysts and marketing specialists, depending on whether the role is primarily technical or business-oriented. The O*NET classification affects prevailing wage levels, so confirming the correct code with your employer before the LCA is filed prevents wage compliance issues later.