Marketing Data Analyst Jobs in USA with Visa Sponsorship
Marketing Data Analysts are strong H-1B visa sponsorship candidates because the role qualifies as a specialty occupation requiring a bachelor's degree in statistics, mathematics, or a related analytical field. Employers across tech, retail, and financial services regularly file LCAs for this title. For detailed occupation requirements, see the O*NET profile.
Find Marketing Data Analyst JobsOverview
Showing 5 of 4,929+ Marketing Data Analyst jobs
See all 4,929+ Marketing Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Marketing Data Analyst roles.
Get Access To All JobsAbout 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.
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 4,929+ Marketing Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Marketing Data Analyst roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Marketing Data Analyst
Confirm the role requires a specific degree
H-1B eligibility depends on the job qualifying as a specialty occupation. Make sure the job posting specifies a bachelor's degree in statistics, mathematics, economics, or a directly related field, not just any degree.
Target employers with H-1B filing history
Companies that have sponsored Marketing Data Analysts before are far more likely to do it again. Search DOL LCA disclosure data to identify employers with a track record of sponsoring this specific job title.
Understand the H-1B lottery timeline
H-1B registration opens each March for an October 1 start date. If you're on OPT, STEM extension gives you up to three years of runway, which meaningfully improves your odds of clearing the lottery.
Highlight technical skills that strengthen your petition
USCIS scrutinizes specialty occupation claims closely. A strong portfolio of SQL, Python, statistical modeling, or BI tools like Tableau signals degree-level work and helps establish that a specific technical background is genuinely required.
Start the sponsorship conversation early in the process
Raising sponsorship after an offer creates friction. Filtering to sponsors-only roles from the start keeps the conversation straightforward. Migrate Mate surfaces employer-sponsored Marketing Data Analyst roles directly, saving you that awkward conversation.
Frequently Asked Questions
Does a Marketing Data Analyst role qualify for H-1B sponsorship?
Yes, in most cases. Marketing Data Analyst qualifies as a specialty occupation when the employer requires a bachelor's degree or higher in a specific field such as statistics, mathematics, economics, or data science. If the posting accepts any bachelor's degree regardless of field, USCIS may push back on the specialty occupation claim, so the degree requirement language in the job description matters.
What degree do I need to get sponsored as a Marketing Data Analyst?
A bachelor's degree in statistics, mathematics, economics, computer science, or a closely related analytical field is the standard. Marketing degrees alone are sometimes accepted if the role is heavily quantitative, but the stronger the alignment between your degree field and the analytical nature of the role, the less likely USCIS is to issue a Request for Evidence. A master's degree in a relevant field strengthens the petition further.
Are there visa options beyond H-1B for Marketing Data Analysts?
Yes. Australian citizens can apply for the E-3 visa, which has a 10,500 annual cap that has never been exhausted, meaning no lottery. Canadian and Mexican nationals qualify for TN visa status under the USMCA if the role fits the economist or statistician categories. Both paths are faster and more predictable than H-1B visa. Browse Migrate Mate to filter Marketing Data Analyst roles by visa type and find employers open to these alternatives.
How competitive is H-1B sponsorship for Marketing Data Analysts compared to software engineers?
The lottery odds are identical since selection is random, but Marketing Data Analyst petitions face more USCIS scrutiny than pure software engineering roles because the specialty occupation argument requires more documentation. Employers in tech, financial services, and e-commerce have well-established precedent for sponsoring this title, which reduces the risk of denial. Firms with dedicated immigration counsel are better positioned to build a strong petition for this role.
Can I get sponsored as a Marketing Data Analyst at a startup or small company?
Yes, but smaller employers carry additional risk. USCIS sometimes scrutinizes whether small companies genuinely have enough specialized analytical work to justify a full-time specialty occupation position. Startups without prior H-1B filing history may also lack the internal HR and legal infrastructure to manage the process smoothly. If you're targeting startups, confirm early whether they have immigration counsel and have sponsored employees before.
What is the prevailing wage requirement for sponsored Marketing Data Analyst jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.