Analytics Engineer Jobs in USA with Visa Sponsorship
There are 18,359+ analytics engineer positions currently offering visa sponsorship in the United States. The most common visa types for these roles include H-1B, Green Card, TN. Top hiring companies include Apple, Deloitte, & Meta, among others. Salaries for sponsored positions range from $147K – $212K.
See All Analytics Engineer JobsOverview
Showing 5 of 18,359+ analytics engineer jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 18,359+ 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 JobsINTRODUCTION
Creative Planning is a top tier wealth management firm that provides investment management services and full comprehensive financial planning in-house. Additionally, it provides managed IT solutions, encompassing data, analytics, automation, network, application, infrastructure, and security management services. Our Managed Service Provider (MSP) team delivers proactive services and addresses unforeseen issues to ensure smooth and efficient client operations. The Analytics Engineer will focus on understanding clients' analytics needs, crafting tailored BI and reporting solutions, and developing scalable data models and pipelines to enable actionable insights. The Analytics Engineer serves as the critical link between data engineering and analytics, utilizing advanced BI tools to deliver impactful visualizations and analysis while maintaining robust data infrastructure. We do not accept resume submissions from third-party recruiters or staffing agencies. Please contact our recruiting team directly.
JOB DUTIES:
Client Engagement:
- Collaborate with clients to gather and understand their business intelligence and analytics needs.
- Recommend and implement BI tools and strategies to effectively address client challenges.
Business Intelligence & Analytics:
- Develop reports and dashboards using tools such as Tableau, Power BI, or Looker Data Studio.
- Translate business requirements into technical specifications and visualizations to support decision-making.
- Conduct exploratory data analysis to uncover trends, insights, and opportunities for improvement.
Data Modeling:
- Design and maintain scalable, efficient data models optimized for analytics and BI platforms.
- Utilize DBT (Data Build Tool) to create and document reusable data transformations and models.
Data Engineering (Secondary):
- Build and maintain data pipelines to ensure accurate and timely data delivery.
- Use SQL for querying, analysis, and data transformation.
- Collaborate with data engineers to optimize ETL/ELT workflows and database performance.
Collaboration and Communication:
- Partner with data scientists, data engineers, and business stakeholders to meet analytics requirements.
- Translate complex technical concepts into actionable insights for non-technical audiences.
Data Governance and Quality:
- Implement data quality checks and ensure adherence to governance standards.
- Monitor data pipelines and BI systems to maintain performance and accuracy.
Innovation and Industry Trends:
- Stay informed about advancements in BI tools, data analytics, and engineering practices.
- Identify opportunities to enhance processes and deliver innovative analytics solutions.
REQUIRED EXPERIENCE/QUALIFICATIONS:
- 3–5 years of experience in analytics engineering, data analysis, or a related field.
- Proficiency in business intelligence (BI) tools such as Tableau, Power BI, or Looker.
- Strong skills or a willingness to learn: SQL, data modeling, and transformation using DBT.
- Python for data analysis and automation.
- Familiarity with data engineering processes, including ETL/ELT workflows.
- Knowledge of data governance, quality, and compliance best practices.
- Excellent communication and problem-solving skills.
- Ability to work independently and collaboratively in a fast-paced environment.
How to Get 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.
See all 18,359+ 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 JobsFrequently 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 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.
See which Analytics Engineer employers are hiring and sponsoring visas right now.
Browse Analytics Engineer Jobs