H-1B Visa Analytics Engineer Jobs
Analytics Engineer roles qualify for H-1B visa sponsorship as specialty occupations requiring a bachelor's degree or higher in computer science, statistics, or a related field. Employers file the LCA with DOL before sponsoring your H-1B, certifying your wage meets the prevailing rate for your work location.
Find H-1B Visa Analytics Engineer JobsOverview
Showing 5 of 11,089+ Analytics Engineer jobs
See all 11,089+ 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 JobsJob Description
Requisition ID
94233
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Location Designation: Hybrid - 3 days per week
Role Overview
The Analytics Engineer is a key contributor within the Enterprise Intelligence Data Services team, responsible for developing and maintaining the analytics foundations that power enterprise intelligence, reporting, and AI-driven decision-making. Working closely with senior analytics engineers, data engineers, and business stakeholders, this role helps transform enterprise data into trusted, accessible, and actionable information products.
This position combines technical expertise in data transformation and modeling with a strong focus on data quality, business understanding, and collaboration. The successful candidate will contribute to scalable analytics solutions, support reporting and intelligence initiatives, and continue building expertise in modern analytics engineering practices, cloud data platforms, and AI-enabled data ecosystems.
What You'll Do:
- Develop and maintain data transformation logic, data models, and analytics datasets using SQL, dbt, and modern analytics engineering practices to support enterprise reporting, analytics, and intelligence initiatives.
- Contribute to the implementation of data quality controls, testing frameworks, and documentation standards that improve the reliability, consistency, and usability of enterprise data assets.
- Support the development and maintenance of dashboards, reports, and business metrics by partnering with analytics teams and stakeholders to deliver actionable insights and trusted information products.
- Collaborate with engineering, analytics, and business teams to understand requirements, translate business needs into data solutions, and support the delivery of high-quality data products.
- Participate in Agile delivery activities, continuous learning opportunities, and cross-functional initiatives that enhance analytics engineering capabilities, data governance practices, and platform maturity.
What You'll Bring:
Required Skills
- Bachelor's degree and 1–3 years of experience in analytics engineering, data engineering, business intelligence, or a related technical field.
- Proficiency in SQL with the ability to write, troubleshoot, and optimize queries for data transformation, reporting, and analysis.
- Experience with dbt or similar data transformation tools and a foundational understanding of analytics engineering concepts and best practices.
- Knowledge of data warehousing principles, dimensional modeling concepts, and data quality management practices.
- Strong analytical, problem-solving, and organizational skills with attention to detail and a commitment to delivering accurate, reliable data solutions.
- Effective communication and collaboration skills, with the ability to work successfully across technical and business teams in a fast-paced environment.
Preferred Skills
- Exposure to cloud data platforms such as Google Cloud Platform (GCP), AWS, Databricks, BigQuery, or similar modern data ecosystems.
- Experience developing reports, dashboards, or data visualizations using tools such as Looker, Tableau, Power BI, or related platforms.
- Familiarity with Git, version control practices, Agile delivery methodologies, and collaborative software development workflows.
- Interest in artificial intelligence, machine learning, enterprise intelligence platforms, and the role of data in enabling advanced analytics and decision-making.
Pay Transparency
Salary Range: $100,000-$143,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees’ needs.
Job Requisition ID: 94233
Job Description
Requisition ID
94233
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Location Designation: Hybrid - 3 days per week
Role Overview
The Analytics Engineer is a key contributor within the Enterprise Intelligence Data Services team, responsible for developing and maintaining the analytics foundations that power enterprise intelligence, reporting, and AI-driven decision-making. Working closely with senior analytics engineers, data engineers, and business stakeholders, this role helps transform enterprise data into trusted, accessible, and actionable information products.
This position combines technical expertise in data transformation and modeling with a strong focus on data quality, business understanding, and collaboration. The successful candidate will contribute to scalable analytics solutions, support reporting and intelligence initiatives, and continue building expertise in modern analytics engineering practices, cloud data platforms, and AI-enabled data ecosystems.
What You'll Do:
- Develop and maintain data transformation logic, data models, and analytics datasets using SQL, dbt, and modern analytics engineering practices to support enterprise reporting, analytics, and intelligence initiatives.
- Contribute to the implementation of data quality controls, testing frameworks, and documentation standards that improve the reliability, consistency, and usability of enterprise data assets.
- Support the development and maintenance of dashboards, reports, and business metrics by partnering with analytics teams and stakeholders to deliver actionable insights and trusted information products.
- Collaborate with engineering, analytics, and business teams to understand requirements, translate business needs into data solutions, and support the delivery of high-quality data products.
- Participate in Agile delivery activities, continuous learning opportunities, and cross-functional initiatives that enhance analytics engineering capabilities, data governance practices, and platform maturity.
What You'll Bring:
Required Skills
- Bachelor's degree and 1–3 years of experience in analytics engineering, data engineering, business intelligence, or a related technical field.
- Proficiency in SQL with the ability to write, troubleshoot, and optimize queries for data transformation, reporting, and analysis.
- Experience with dbt or similar data transformation tools and a foundational understanding of analytics engineering concepts and best practices.
- Knowledge of data warehousing principles, dimensional modeling concepts, and data quality management practices.
- Strong analytical, problem-solving, and organizational skills with attention to detail and a commitment to delivering accurate, reliable data solutions.
- Effective communication and collaboration skills, with the ability to work successfully across technical and business teams in a fast-paced environment.
Preferred Skills
- Exposure to cloud data platforms such as Google Cloud Platform (GCP), AWS, Databricks, BigQuery, or similar modern data ecosystems.
- Experience developing reports, dashboards, or data visualizations using tools such as Looker, Tableau, Power BI, or related platforms.
- Familiarity with Git, version control practices, Agile delivery methodologies, and collaborative software development workflows.
- Interest in artificial intelligence, machine learning, enterprise intelligence platforms, and the role of data in enabling advanced analytics and decision-making.
Pay Transparency
Salary Range: $100,000-$143,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees’ needs.
Job Requisition ID: 94233
See all 11,089+ H-1B Visa Analytics Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Analytics Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an Analytics Engineer
Frame your degree for specialty occupation
USCIS evaluates whether your degree field directly relates to Analytics Engineering. A computer science or statistics degree maps cleanly. A business degree requires supporting coursework transcripts to establish the direct relationship.
Search LCA filings by SOC code
Analytics Engineer roles typically file under SOC 15-1243 (Database Architects) or 15-1299. Use the OFLC Wage Search to filter by SOC code and find employers who have certified LCAs for this exact role type, not just tech roles broadly.
Target employers with dbt or Spark in job postings
H-1B sponsors for Analytics Engineers concentrate in data-intensive industries. Employers posting dbt, Apache Spark, or Airflow requirements have built data infrastructure teams that routinely sponsor H-1B workers and understand the filing timeline.
Find verified H-1B sponsors on Migrate Mate
Filter Analytics Engineer roles by H-1B sponsorship history on Migrate Mate. Each listing shows verified DOL filing data so you can confirm an employer has actually sponsored this role before, not just marked a checkbox on a job posting.
Clarify prevailing wage level before offer negotiation
Your LCA must certify your wage at Level I through Level IV. Analytics Engineers offered below the prevailing wage for your metro area will have their LCA denied. Check the OFLC Wage Search for your SOC code and work location before you receive an offer.
Confirm cap-gap coverage if you're on OPT
If your OPT expires before October 1 and your H-1B petition is timely filed, cap-gap extends your work authorization automatically. Get written confirmation from your employer's immigration counsel that the petition was filed before your EAD expires.
H-1B Visa Analytics Engineer: Frequently Asked Questions
Does an Analytics Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. USCIS treats Analytics Engineer as a specialty occupation because the role requires at minimum a bachelor's degree in a directly related field such as computer science, statistics, or data engineering. Employers strengthen the petition by documenting that the position's core duties, including data modeling and pipeline architecture, require that specific theoretical and technical knowledge.
Which SOC code do employers typically use when filing an H-1B LCA for an Analytics Engineer?
Most employers file under SOC 15-1243 (Database Architects) or 15-1299 (Software Developers and Engineers, All Other). The SOC code determines the prevailing wage level DOL certifies on the LCA. You can verify which codes employers in your target industry have used by searching the OFLC Wage Search before your offer stage.
How do I find Analytics Engineer employers who have sponsored H-1B workers before?
Migrate Mate filters Analytics Engineer roles by verified DOL LCA filing history, so you can see which employers have actually sponsored this role type rather than relying on self-reported sponsorship willingness. Prior LCA filings in your role category indicate that the employer has an established immigration process and understands the timeline.
Can an employer sponsor my H-1B for a fully remote Analytics Engineer role?
Yes, but the LCA must list every location where you'll work, including your home address if you work remotely from a different metro area than the employer's headquarters. DOL requires the prevailing wage to reflect your actual work location, not the employer's office. If you move cities, the employer may need to file an amended LCA and an H-1B amendment petition.
What happens to my H-1B status if I change roles from Analytics Engineer to a different data title at the same employer?
A material change in job duties, SOC code, or work location triggers an H-1B amendment requirement. Moving from Analytics Engineer to Data Scientist or Staff Engineer often changes the SOC code, which requires a new LCA and amended I-129 before you start the new role. Confirm with your employer's immigration counsel whether the change is material before accepting an internal transfer.