Analytics Engineer Jobs in USA with Visa Sponsorship
Analytics engineers have solid visa sponsorship prospects since the role sits at the intersection of data engineering and analytics, which employers can easily justify as a specialty occupation. H-1B visa is the standard path, and you'll find sponsorship at tech companies, large enterprises with data teams, and consulting firms. TN visas work for Canadians and Mexicans under the engineer or computer systems analyst category. Having experience with tools like dbt, SQL, and Python strengthens both your job prospects and your visa case. For detailed occupation requirements, see the O*NET profile.
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Central Garden & Pet is seeking a Manager or Sr. Manager of Digital Analytics to support the digital measurement approach for Pet eCommerce. Our brands, including Kaytee, Nylabone, Adams, Comfort Zone, Aqueon, Farnam, and K&H, sell online across Amazon, Chewy, Walmart, Target, Tractor Supply, and emerging marketplaces. This role will help turn our reporting foundation into an analytical decision engine. The right candidate will build data ingestion pipelines as comfortably as they build the narrative, will treat reports and analysis as versioned products with release cycles, and can explain how they know an AI-assisted answer is correct.
You will report to the VP of eCommerce, Pet, and manage a Sr. Digital Media Analyst. Expect roughly a 60/40 split between building and partnering. You will be in SQL, DAX, PowerBI, and the semantic models daily, and you will also work with business units that challenge your metrics. This role is 40% data engineering-focused, 30% AI-focused, and 30% analysis.
This position will be based in Schaumburg, IL corporate office. We operate in a hybrid work environment that balances in-person collaboration with workplace flexibility. Employees work from the office four (4) days per week, with one remote day, to support greater collaboration, learning, and team connection.
KEY RESPONSIBILITIES
- Own our digital measurement baseline: one definition set for sales, share, traffic, conversion, and media efficiency across Amazon 1P and 3P, Chewy, Walmart, and emerging marketplaces, reconciled before rollup. When a number is disputed, fix the methodology.
- Engineer the data pipelines across retailer portals, retail media platforms, syndicated POS, product data systems, and internal ERP, on a modern architecture, replacing manual assembly with monitored, tested workstreams.
- Publish the reporting layer as a product: governed PowerBI semantic models with documented measures, versioned releases, and a retirement path for whatever each release replaces.
- Deliver reads that change decisions: digital category and item performance, promotional effectiveness, media efficiency and incrementality, share movement, fulfillment and cut-order exposure.
- Apply AI to the analytics work itself: automate recurring analysis and executive summaries, and build evals and reconciliation checks to guarantee the output.
- Build and maintain scorecards that grade ourselves and our agency partners across content quality, AI retrieval share, and media incrementality among other emerging KPIs.
- Manage and grow a Sr Digital Media Analyst and provide analytic support and direction to commercial analysts embedded across the organization.
What Success Looks Like
- One number: sales, share, and media figures match across joint business plan materials, business unit planning, and finance reporting.
- Our operating reporting cycle runs on engineered pipelines, with the hours returned measured and reinvested in analysis.
- The reporting layer is consolidated, versioned, and adopted, and what it replaced is retired.
- AI-assisted ingestion and analysis workflows in production with evals.
QUALIFICATIONS
- 5+ years in analytics, data engineering, or commercial analysis, including at least 1 year directing work others depend on.
- Strong SQL and working Python, with ownership of a production data pipeline end to end: API ingestion, transformation, testing, reconciliation, monitoring.
- PowerBI with build competency: semantic model design, Power Query, DAX beyond basic measures, incremental refresh, row level security, deployment discipline.
- Practical, validated use of large language models in analytical work and judgment to validate output.
- Retail, CPG, or eCommerce fluency with direct exposure to how commercial decisions get made.
Preferred Qualifications
- Amazon Vendor Central, Seller Central, Brand Analytics, Search Query Performance, or Amazon Marketing Cloud reporting.
- Pacvue or comparable campaign management tooling; Stackline or comparable syndicated sources.
- A modern data platform migration (Databricks, Fabric, Snowflake) as a contributor.
- Salsify or comparable PIM exposure.
- Bachelor's degree in a quantitative or business discipline.
WORK ENVIRONMENT
- Travel approximately 10%-15%: primarily for business reviews, retailer meetings and team sessions.
POSITION INFORMATION
- This position pays $145,000 - $160,000 per year depending on experience and geographic location of Schaumburg, IL. This position is also eligible for a management incentive bonus based on individual and company performance.
BENEFITS PACKAGE & EMPLOYEE PROGRAMS
- Comprehensive Medical, Dental, and Vision Insurance
- Free Life and Disability Insurance
- Health and Dependent Care Flexible Spending Accounts
- 401k with 3% company match and annual employer discretionary contribution
- Paid vacation, holidays and sick time
- Employee Assistance Program
- Access to thousands of free online courses
- Discounts on cell phones, movie tickets, gym memberships, and more!
- Education Assistance (both college degrees and professional certifications)
- Referral Program with cash bonus
- Access to on-demand pay
- Paid parental leave
Central Garden & Pet Company (NASDAQ: CENT) (NASDAQ: CENTA) is a leading consumer goods company in the pet and garden industries. Guided by the belief that home is central to life, the Company's purpose is to proudly nurture happy and healthy homes. For over 45 years, its innovative and trusted solutions have helped lawns grow greener, gardens bloom bigger, pets live healthier, and communities grow stronger. Central is home to a diversified portfolio of market-leading brands including Amdro®, Aqueon®, Best Bully Sticks®, Cadet®, C&S®, Farnam®, Ferry-Morse®, Kaytee®, Nylabone®, Pennington®, Sevin® and Zoёcon®. With fiscal 2025 net sales of $3.1 billion, Central has strong manufacturing and logistics capabilities supported by a passionate, entrepreneurial growth culture. The Company is headquartered in Walnut Creek, California, and employs over 6,000 people, primarily across North America.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by law.
Description
Central Garden & Pet is seeking a Manager or Sr. Manager of Digital Analytics to support the digital measurement approach for Pet eCommerce. Our brands, including Kaytee, Nylabone, Adams, Comfort Zone, Aqueon, Farnam, and K&H, sell online across Amazon, Chewy, Walmart, Target, Tractor Supply, and emerging marketplaces. This role will help turn our reporting foundation into an analytical decision engine. The right candidate will build data ingestion pipelines as comfortably as they build the narrative, will treat reports and analysis as versioned products with release cycles, and can explain how they know an AI-assisted answer is correct.
You will report to the VP of eCommerce, Pet, and manage a Sr. Digital Media Analyst. Expect roughly a 60/40 split between building and partnering. You will be in SQL, DAX, PowerBI, and the semantic models daily, and you will also work with business units that challenge your metrics. This role is 40% data engineering-focused, 30% AI-focused, and 30% analysis.
This position will be based in Schaumburg, IL corporate office. We operate in a hybrid work environment that balances in-person collaboration with workplace flexibility. Employees work from the office four (4) days per week, with one remote day, to support greater collaboration, learning, and team connection.
KEY RESPONSIBILITIES
- Own our digital measurement baseline: one definition set for sales, share, traffic, conversion, and media efficiency across Amazon 1P and 3P, Chewy, Walmart, and emerging marketplaces, reconciled before rollup. When a number is disputed, fix the methodology.
- Engineer the data pipelines across retailer portals, retail media platforms, syndicated POS, product data systems, and internal ERP, on a modern architecture, replacing manual assembly with monitored, tested workstreams.
- Publish the reporting layer as a product: governed PowerBI semantic models with documented measures, versioned releases, and a retirement path for whatever each release replaces.
- Deliver reads that change decisions: digital category and item performance, promotional effectiveness, media efficiency and incrementality, share movement, fulfillment and cut-order exposure.
- Apply AI to the analytics work itself: automate recurring analysis and executive summaries, and build evals and reconciliation checks to guarantee the output.
- Build and maintain scorecards that grade ourselves and our agency partners across content quality, AI retrieval share, and media incrementality among other emerging KPIs.
- Manage and grow a Sr Digital Media Analyst and provide analytic support and direction to commercial analysts embedded across the organization.
What Success Looks Like
- One number: sales, share, and media figures match across joint business plan materials, business unit planning, and finance reporting.
- Our operating reporting cycle runs on engineered pipelines, with the hours returned measured and reinvested in analysis.
- The reporting layer is consolidated, versioned, and adopted, and what it replaced is retired.
- AI-assisted ingestion and analysis workflows in production with evals.
QUALIFICATIONS
- 5+ years in analytics, data engineering, or commercial analysis, including at least 1 year directing work others depend on.
- Strong SQL and working Python, with ownership of a production data pipeline end to end: API ingestion, transformation, testing, reconciliation, monitoring.
- PowerBI with build competency: semantic model design, Power Query, DAX beyond basic measures, incremental refresh, row level security, deployment discipline.
- Practical, validated use of large language models in analytical work and judgment to validate output.
- Retail, CPG, or eCommerce fluency with direct exposure to how commercial decisions get made.
Preferred Qualifications
- Amazon Vendor Central, Seller Central, Brand Analytics, Search Query Performance, or Amazon Marketing Cloud reporting.
- Pacvue or comparable campaign management tooling; Stackline or comparable syndicated sources.
- A modern data platform migration (Databricks, Fabric, Snowflake) as a contributor.
- Salsify or comparable PIM exposure.
- Bachelor's degree in a quantitative or business discipline.
WORK ENVIRONMENT
- Travel approximately 10%-15%: primarily for business reviews, retailer meetings and team sessions.
POSITION INFORMATION
- This position pays $145,000 - $160,000 per year depending on experience and geographic location of Schaumburg, IL. This position is also eligible for a management incentive bonus based on individual and company performance.
BENEFITS PACKAGE & EMPLOYEE PROGRAMS
- Comprehensive Medical, Dental, and Vision Insurance
- Free Life and Disability Insurance
- Health and Dependent Care Flexible Spending Accounts
- 401k with 3% company match and annual employer discretionary contribution
- Paid vacation, holidays and sick time
- Employee Assistance Program
- Access to thousands of free online courses
- Discounts on cell phones, movie tickets, gym memberships, and more!
- Education Assistance (both college degrees and professional certifications)
- Referral Program with cash bonus
- Access to on-demand pay
- Paid parental leave
Central Garden & Pet Company (NASDAQ: CENT) (NASDAQ: CENTA) is a leading consumer goods company in the pet and garden industries. Guided by the belief that home is central to life, the Company's purpose is to proudly nurture happy and healthy homes. For over 45 years, its innovative and trusted solutions have helped lawns grow greener, gardens bloom bigger, pets live healthier, and communities grow stronger. Central is home to a diversified portfolio of market-leading brands including Amdro®, Aqueon®, Best Bully Sticks®, Cadet®, C&S®, Farnam®, Ferry-Morse®, Kaytee®, Nylabone®, Pennington®, Sevin® and Zoёcon®. With fiscal 2025 net sales of $3.1 billion, Central has strong manufacturing and logistics capabilities supported by a passionate, entrepreneurial growth culture. The Company is headquartered in Walnut Creek, California, and employs over 6,000 people, primarily across North America.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by law.
See all 3,649+ Analytics Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Analytics Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as an Analytics Engineer
Become proficient in dbt and the modern data stack
dbt is the core tool that defines the analytics engineer role. Learn dbt Cloud or dbt Core, including testing, documentation, and package management. Pairing dbt skills with Snowflake or BigQuery experience positions you for roles at companies that have adopted the modern data stack.
Target companies that have established analytics engineering teams
Companies like Spotify, GitLab, dbt Labs, HashiCorp, and JetBlue have publicly invested in analytics engineering functions. Tech companies, fintech firms, and data-mature startups are the most likely employers for this role and tend to have sponsorship-friendly hiring practices.
Master dimensional data modeling
Kimball dimensional modeling and activity schema design are foundational to the analytics engineer role. Employers expect you to design star and snowflake schemas that balance query performance with maintainability. Strong modeling skills are a key differentiator in technical interviews for this position.
Contribute to the dbt open-source community
The dbt community is unusually active and visible through dbt Community Slack, open-source packages, and blog posts. Publishing dbt packages, writing about data modeling patterns, or contributing to dbt documentation builds your professional reputation and can connect you with hiring managers at sponsoring companies.
Frequently Asked Questions
What is an analytics engineer and do these roles get visa sponsorship?
Analytics engineers bridge the gap between data engineering and analytics by building the data models and transformation pipelines that analysts and data scientists rely on. This is a rapidly growing role at tech companies and data-driven organizations. Because it requires specialized skills in SQL, dbt, and data modeling, analytics engineer positions can qualify for H-1B visa sponsorship under computer occupation SOC codes.
What tools should I know for analytics engineer roles?
dbt (data build tool) is the defining tool of this role. Beyond dbt, you should be proficient in SQL, familiar with cloud data warehouses like Snowflake, BigQuery, or Databricks, and comfortable with version control using Git. Knowledge of data modeling techniques like Kimball dimensional modeling and data quality testing frameworks rounds out the expected skill set.
How does the analytics engineer role differ from data engineer for visa classification?
Both roles can qualify for H-1B under similar SOC codes, but their focus areas differ. Data engineers build infrastructure and pipelines to move and store data, while analytics engineers transform and model data specifically for analytical consumption. Analytics engineers work more closely with business stakeholders and typically require stronger SQL and business logic skills than traditional data engineers.
Can analytics engineers qualify for STEM OPT?
Yes, analytics engineer roles can qualify for STEM OPT if your degree is in a STEM-designated field such as computer science, data science, or information systems. The 24-month STEM extension provides up to 36 months of total work authorization, which is particularly valuable given that many companies prefer to evaluate analytics engineers on their data modeling work before initiating H-1B sponsorship.
What is the prevailing wage requirement for sponsored Analytics Engineer jobs?
When a U.S. employer sponsors a foreign worker for a work visa, they are legally required to pay at least the "prevailing wage" — the average wage paid to workers in the same occupation, in the same geographic area, with similar experience. This is set by the Department of Labor to prevent employers from hiring foreign workers at below-market rates. The prevailing wage varies significantly by role, location, and experience level — for example, a analytics engineer in California will have a different prevailing wage than the same role in a smaller state. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search.
How to find Analytics Engineer jobs with visa sponsorship?
To find Analytics Engineer jobs with visa sponsorship, use Migrate Mate, which specializes in connecting international talent with sponsoring employers. Focus on tech companies, fintech firms, and data-driven startups that commonly sponsor H-1B, O-1 visa, and other work visas for analytics roles. These employers actively seek skilled professionals to build data pipelines, create dashboards, and optimize business intelligence systems.