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.
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Get Access To All JobsINTRODUCTION
The Director, Advanced Analytics is responsible for leading the analytics strategy and capabilities that enable growth across the Walmart and Sam's Club business. This leader partners closely with commercial leadership to translate complex business questions into actionable insights, predictive analytics, and scalable digital solutions that improve decision-making and drive commercial performance.
This role leads a team responsible for advanced analytics, executive reporting, dashboard strategy, predictive modeling, and data-driven problem solving across the Walmart business. Working cross-functionally with Digital Experience (DX), Strategy, Transformation & Analytics (ST&A), Data & Analytics (D&A), eCommerce Technology, Global Business Services (GBS), Commercial Insights, and Product teams, the Director ensures high-quality analytics, trusted data, and scalable capabilities that support both near-term business priorities and long-term capability development.
Success in this role requires a strong combination of commercial acumen, analytical expertise, strategic thinking, people leadership, and influence across a highly matrixed organization.
Responsibilities
Analytics Strategy & Business Partnership:
- Serve as the strategic analytics leader supporting the Walmart and Sam's Club business, translating business priorities into scalable analytical solutions.
- Partner with senior commercial leaders to identify opportunities where advanced analytics can improve customer strategy, category performance, forecasting, revenue growth, and operational execution.
- Deliver executive-level insights, recommendations, and business reporting that influence strategic decision making.
- Lead prioritization of analytics work, balancing business impact, resource capacity, and delivery timelines.
- Communicate complex analytical findings in a clear, actionable manner to both technical and non-technical audiences.
Advanced Analytics & Capability Development:
- Lead the development and application of advanced analytics, predictive models, machine learning, and statistical techniques to solve complex commercial challenges.
- Oversee development of analytics supporting areas such as price elasticity, demand forecasting, phantom inventory, shopper behavior, assortment, promotional effectiveness, and other key business opportunities.
- Identify emerging trends, risks, and growth opportunities through structured, semi-structured, and unstructured data sources.
- Define and execute the analytics capability roadmap, aligning Horizon 1 execution with longer-term Horizon 2 and Horizon 3 innovation priorities.
- Champion adoption of modern analytics, AI, and predictive capabilities to drive more proactive decision making across the organization.
Product & Data Enablement:
- Lead the strategy and governance for executive dashboards and analytics products that provide consistent, trusted business insights.
- Partner with DX, D&A, ST&A, GBS, and technology teams to improve data quality, strengthen data foundations, and enhance digital analytics capabilities.
- Ensure analytics products are scalable, user-centric, and aligned with evolving business needs.
- Drive continuous improvement in reporting automation, visualization, and self-service analytics capabilities.
People Leadership:
- Lead, coach, and develop a high-performing team of analytics professionals while fostering a culture of curiosity, innovation, and continuous learning.
- Build future-ready analytics capabilities by investing in technical development, commercial acumen, and leadership growth.
- Establish clear priorities, performance expectations, and accountability across the team.
- Build strong partnerships across PepsiCo's commercial, analytics, technology, and enterprise functions to maximize organizational impact.
COMPENSATION & BENEFITS:
- The expected compensation range for this position is between $132,200 - $262,400.
- Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
- Bonus based on performance and eligibility target payout is 25% of annual salary paid out annually and an additional target payout of 10% of annual salary is paid out over 3 years following the end of the performance period.
- Long term incentive equity may be awarded based on eligibility and performance.
- Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
- In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.
QUALIFICATIONS
Required Qualifications:
- Bachelor's degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics, or a related field.
- 8+ years of progressive experience in analytics, business intelligence, data science, commercial strategy, or related fields.
- 5+ years of experience leading high-performing analytics or technical teams.
- Demonstrated experience applying advanced analytics, predictive modeling, and statistical techniques to solve complex business problems.
- Experience working with large, complex datasets and modern analytical tools, including Python, SQL, or similar programming languages.
- Strong executive communication, storytelling, and stakeholder management skills.
- Proven ability to influence senior leaders and operate effectively across highly matrixed organizations.
- Strong commercial acumen with the ability to connect analytics to business outcomes.
Preferred Qualifications:
- Master's degree in Data Science, Analytics, Computer Science, Statistics, Business Analytics, or a related discipline.
- Experience supporting large retail customers, CPG organizations, or commercial organizations.
- Experience with machine learning applications in a business environment.
- Experience developing executive dashboards and self-service analytics capabilities using platforms such as Power BI or Tableau.
- Familiarity with shopper, consumer, syndicated, retail, and digital commerce data sources.
- Experience partnering with product, technology, data engineering, or enterprise analytics organizations to deliver scalable analytics solutions.
- Passion for developing talent, fostering innovation, and advancing data-driven decision making across the organization.
Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.
Please view our Pay Transparency Statement.
INTRODUCTION
The Director, Advanced Analytics is responsible for leading the analytics strategy and capabilities that enable growth across the Walmart and Sam's Club business. This leader partners closely with commercial leadership to translate complex business questions into actionable insights, predictive analytics, and scalable digital solutions that improve decision-making and drive commercial performance.
This role leads a team responsible for advanced analytics, executive reporting, dashboard strategy, predictive modeling, and data-driven problem solving across the Walmart business. Working cross-functionally with Digital Experience (DX), Strategy, Transformation & Analytics (ST&A), Data & Analytics (D&A), eCommerce Technology, Global Business Services (GBS), Commercial Insights, and Product teams, the Director ensures high-quality analytics, trusted data, and scalable capabilities that support both near-term business priorities and long-term capability development.
Success in this role requires a strong combination of commercial acumen, analytical expertise, strategic thinking, people leadership, and influence across a highly matrixed organization.
Responsibilities
Analytics Strategy & Business Partnership:
- Serve as the strategic analytics leader supporting the Walmart and Sam's Club business, translating business priorities into scalable analytical solutions.
- Partner with senior commercial leaders to identify opportunities where advanced analytics can improve customer strategy, category performance, forecasting, revenue growth, and operational execution.
- Deliver executive-level insights, recommendations, and business reporting that influence strategic decision making.
- Lead prioritization of analytics work, balancing business impact, resource capacity, and delivery timelines.
- Communicate complex analytical findings in a clear, actionable manner to both technical and non-technical audiences.
Advanced Analytics & Capability Development:
- Lead the development and application of advanced analytics, predictive models, machine learning, and statistical techniques to solve complex commercial challenges.
- Oversee development of analytics supporting areas such as price elasticity, demand forecasting, phantom inventory, shopper behavior, assortment, promotional effectiveness, and other key business opportunities.
- Identify emerging trends, risks, and growth opportunities through structured, semi-structured, and unstructured data sources.
- Define and execute the analytics capability roadmap, aligning Horizon 1 execution with longer-term Horizon 2 and Horizon 3 innovation priorities.
- Champion adoption of modern analytics, AI, and predictive capabilities to drive more proactive decision making across the organization.
Product & Data Enablement:
- Lead the strategy and governance for executive dashboards and analytics products that provide consistent, trusted business insights.
- Partner with DX, D&A, ST&A, GBS, and technology teams to improve data quality, strengthen data foundations, and enhance digital analytics capabilities.
- Ensure analytics products are scalable, user-centric, and aligned with evolving business needs.
- Drive continuous improvement in reporting automation, visualization, and self-service analytics capabilities.
People Leadership:
- Lead, coach, and develop a high-performing team of analytics professionals while fostering a culture of curiosity, innovation, and continuous learning.
- Build future-ready analytics capabilities by investing in technical development, commercial acumen, and leadership growth.
- Establish clear priorities, performance expectations, and accountability across the team.
- Build strong partnerships across PepsiCo's commercial, analytics, technology, and enterprise functions to maximize organizational impact.
COMPENSATION & BENEFITS:
- The expected compensation range for this position is between $132,200 - $262,400.
- Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
- Bonus based on performance and eligibility target payout is 25% of annual salary paid out annually and an additional target payout of 10% of annual salary is paid out over 3 years following the end of the performance period.
- Long term incentive equity may be awarded based on eligibility and performance.
- Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
- In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.
QUALIFICATIONS
Required Qualifications:
- Bachelor's degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics, or a related field.
- 8+ years of progressive experience in analytics, business intelligence, data science, commercial strategy, or related fields.
- 5+ years of experience leading high-performing analytics or technical teams.
- Demonstrated experience applying advanced analytics, predictive modeling, and statistical techniques to solve complex business problems.
- Experience working with large, complex datasets and modern analytical tools, including Python, SQL, or similar programming languages.
- Strong executive communication, storytelling, and stakeholder management skills.
- Proven ability to influence senior leaders and operate effectively across highly matrixed organizations.
- Strong commercial acumen with the ability to connect analytics to business outcomes.
Preferred Qualifications:
- Master's degree in Data Science, Analytics, Computer Science, Statistics, Business Analytics, or a related discipline.
- Experience supporting large retail customers, CPG organizations, or commercial organizations.
- Experience with machine learning applications in a business environment.
- Experience developing executive dashboards and self-service analytics capabilities using platforms such as Power BI or Tableau.
- Familiarity with shopper, consumer, syndicated, retail, and digital commerce data sources.
- Experience partnering with product, technology, data engineering, or enterprise analytics organizations to deliver scalable analytics solutions.
- Passion for developing talent, fostering innovation, and advancing data-driven decision making across the organization.
Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.
Please view our Pay Transparency Statement.
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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.