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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Get Access To All JobsINTRODUCTION
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Hasbro is a leading games, IP and toy company whose mission is to create joy and community through the magic of play. With 165 years of expertise, Hasbro delivers groundbreaking play experiences and reaches more than 1 billion fans annually around the world, through physical and digital games, video games, toys, licensed consumer products, location-based entertainment, film, TV and more.
Through its franchise-first approach, Hasbro unlocks value from both new and legacy IP, including MAGIC: THE GATHERING, DUNGEONS & DRAGONS, MONOPOLY, HASBRO GAMES, NERF, TRANSFORMERS, PLAY-DOH and PEPPA PIG, as well as premier partner brands. Powered by its portfolio of thousands of iconic marks and a diversified network of partners and subsidiary studios, Hasbro brings fans together wherever they are, from tabletop to screen.
For more than a decade, Hasbro has been consistently recognized for its corporate citizenship, including being named one of the 100 Best Corporate Citizens by 3BL Media, a 2025 JUST Capital Industry Leader, one of the 50 Most Community-Minded Companies in the U.S. by the Civic 50, and a Brand that Matters by Fast Company.
We are growing our Enterprise Data & Engineering team!
We’re looking for a Senior Analytics Engineer to help shape how data is transformed, modeled, and structured to power analytics and business decision-making across the enterprise. Are you energized by turning complex data into scalable, trusted, analytics-ready data products that drive real impact?
In this high-impact individual contributor role, you will design enterprise data models and semantic layers that define how we measure performance and consume data. Together, we are building production-grade transformation frameworks and curated datasets that ensure reporting and business metrics are accurate, consistent, and performant.
We value diverse perspectives and welcome candidates who bring different experiences and approaches to solving complex data challenges.
- Responsible for the design and evolution of analytics-ready data models, dimensional schemas, and curated datasets.
- Own the development of transformation frameworks using DBT, Databricks, and cloud-native technologies.
- Translate business requirements into scalable, reusable data models that standardize metric definitions across teams.
- Establish and uphold modeling standards, semantic layer governance, naming conventions, documentation practices, and testing frameworks.
- Implement and monitor data quality validation, lineage, and transformation-level controls.
- Partner closely with data engineers to align upstream pipeline design with downstream modeling and consumption needs.
- Collaborate with product managers, analysts, and business partners to ensure data products are intuitive, trusted, and aligned to business definitions.
- Lead analytics engineering initiatives from technical design through deployment and optimization.
- Recognize opportunities to simplify the analytics data landscape as well as improve performance.
What You'll Bring
- Experience developing and delivering enterprise-scale analytics frameworks and data transformation structures in modern data environments.
- Strong hands-on expertise with SQL, DBT, and Databricks, as well as cloud data platforms such as Azure and/or AWS.
- Proficiency in Python or similar language for transformation logic, automation, and validation workflows.
- Deep understanding of dimensional modeling, semantic layer architecture, and data warehousing standard methodologies.
- Experience implementing data quality frameworks, automated testing, and documentation standards.
- Ability to lead complex workstreams and influence technical decisions without direct authority.
- Strong interpersonal skills, with the ability to translate data concepts into clear business-aligned structures.
- Experience supporting advanced analytics or AI-enabled use cases is a plus.
We are an Equal Opportunity / Affirmative Action Employer
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator.
Pay Range
$100,200—$150,200 USD
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
- Health & Wellness
- Time Off to Recharge
- Financial Well-being
- Life & Family Support
- Volunteer and Community Initiatives
- Learning & Development
- Exclusive Perks
Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
INTRODUCTION
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Hasbro is a leading games, IP and toy company whose mission is to create joy and community through the magic of play. With 165 years of expertise, Hasbro delivers groundbreaking play experiences and reaches more than 1 billion fans annually around the world, through physical and digital games, video games, toys, licensed consumer products, location-based entertainment, film, TV and more.
Through its franchise-first approach, Hasbro unlocks value from both new and legacy IP, including MAGIC: THE GATHERING, DUNGEONS & DRAGONS, MONOPOLY, HASBRO GAMES, NERF, TRANSFORMERS, PLAY-DOH and PEPPA PIG, as well as premier partner brands. Powered by its portfolio of thousands of iconic marks and a diversified network of partners and subsidiary studios, Hasbro brings fans together wherever they are, from tabletop to screen.
For more than a decade, Hasbro has been consistently recognized for its corporate citizenship, including being named one of the 100 Best Corporate Citizens by 3BL Media, a 2025 JUST Capital Industry Leader, one of the 50 Most Community-Minded Companies in the U.S. by the Civic 50, and a Brand that Matters by Fast Company.
We are growing our Enterprise Data & Engineering team!
We’re looking for a Senior Analytics Engineer to help shape how data is transformed, modeled, and structured to power analytics and business decision-making across the enterprise. Are you energized by turning complex data into scalable, trusted, analytics-ready data products that drive real impact?
In this high-impact individual contributor role, you will design enterprise data models and semantic layers that define how we measure performance and consume data. Together, we are building production-grade transformation frameworks and curated datasets that ensure reporting and business metrics are accurate, consistent, and performant.
We value diverse perspectives and welcome candidates who bring different experiences and approaches to solving complex data challenges.
- Responsible for the design and evolution of analytics-ready data models, dimensional schemas, and curated datasets.
- Own the development of transformation frameworks using DBT, Databricks, and cloud-native technologies.
- Translate business requirements into scalable, reusable data models that standardize metric definitions across teams.
- Establish and uphold modeling standards, semantic layer governance, naming conventions, documentation practices, and testing frameworks.
- Implement and monitor data quality validation, lineage, and transformation-level controls.
- Partner closely with data engineers to align upstream pipeline design with downstream modeling and consumption needs.
- Collaborate with product managers, analysts, and business partners to ensure data products are intuitive, trusted, and aligned to business definitions.
- Lead analytics engineering initiatives from technical design through deployment and optimization.
- Recognize opportunities to simplify the analytics data landscape as well as improve performance.
What You'll Bring
- Experience developing and delivering enterprise-scale analytics frameworks and data transformation structures in modern data environments.
- Strong hands-on expertise with SQL, DBT, and Databricks, as well as cloud data platforms such as Azure and/or AWS.
- Proficiency in Python or similar language for transformation logic, automation, and validation workflows.
- Deep understanding of dimensional modeling, semantic layer architecture, and data warehousing standard methodologies.
- Experience implementing data quality frameworks, automated testing, and documentation standards.
- Ability to lead complex workstreams and influence technical decisions without direct authority.
- Strong interpersonal skills, with the ability to translate data concepts into clear business-aligned structures.
- Experience supporting advanced analytics or AI-enabled use cases is a plus.
We are an Equal Opportunity / Affirmative Action Employer
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator.
Pay Range
$100,200—$150,200 USD
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
- Health & Wellness
- Time Off to Recharge
- Financial Well-being
- Life & Family Support
- Volunteer and Community Initiatives
- Learning & Development
- Exclusive Perks
Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
See all 11,660+ 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.
Learn data quality and testing frameworks
Analytics engineers are responsible for data reliability. Experience with dbt tests, Great Expectations, or elementary-data makes you more attractive to employers who need someone to build trusted data pipelines. This testing expertise is harder to find domestically, which can strengthen the employer's case for sponsorship.
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.