E-3 Visa Insights Analyst Jobs
Insights Analyst roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in a relevant field like data science, statistics, or business analytics. The E-3 has no lottery and no annual cap, so you can pursue roles with U.S. employers year-round without waiting for a selection cycle.
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Get Access To All JobsRequisition ID
93135
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
As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth — driving the company's success.
At New York Life, the Strategic Insights team operates at the intersection of artificial intelligence, data science, and enterprise strategy. We are redefining how insights and automation drive decision-making in a highly regulated financial ecosystem.
The AI Product Insights Analyst will design and deploy next-generation analytics capabilities that integrate predictive modeling, GenAI applications, and large-scale data engineering. This role is uniquely positioned to translate technical innovation into measurable business impact through AI-driven experimentation, model explainability, and precision targeting strategies.
What You’ll Do:
- Design, implement, and operationalize GenAI-enabled analytical frameworks that enhance personalization, automation, and decision intelligence.
- Develop and maintain data models and transformation pipelines using DBT, Databricks, and Python, with a focus on scalability, reproducibility, and performance optimization.
- Conduct feature attribution and ROI modeling to quantify the business value of AI features and inform enterprise prioritization.
- Lead prompt engineering and fine-tuning efforts for LLMs designed for financial services applications, ensuring accuracy, compliance, and ethical AI standards.
- Collaborate with data scientists, engineers, and business leaders to design AI-integrated product strategies and measure their impact through advanced experimentation frameworks.
- Deliver high-fidelity visual analytics and executive storytelling, synthesizing model results and behavioral insights into actionable strategic recommendations.
What You’ll Bring:
- Master’s degree in Data Science, Computer Science, Applied Mathematics, or related quantitative discipline.
- 3+ years of experience in AI analytics, applied machine learning, or data-driven product strategy, preferably in the Life Insurance space.
- Advanced proficiency in Python, SQL, DBT, Databricks, and data pipeline orchestration tools.
- Proven experience with Generative AI frameworks (e.g., LangChain, OpenAI API, Hugging Face Transformers) and prompt optimization for enterprise use.
- Strong foundation in predictive modeling, causal inference, and ROI estimation.
- Demonstrated ability to work within highly secure and compliant data environments, integrating responsible AI practices.
- Exceptional ability to communicate complex technical concepts through compelling data narratives and executive presentations.
- Proven track record of delivering strategic differentiated solutions at enterprise scale cross-domains such as Marketing, Sales, Finance, and Service.
Pay Transparency
Salary Range: $124,000-$177,000
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.
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.
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.
Job Requisition ID: 93135
Requisition ID
93135
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
As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth — driving the company's success.
At New York Life, the Strategic Insights team operates at the intersection of artificial intelligence, data science, and enterprise strategy. We are redefining how insights and automation drive decision-making in a highly regulated financial ecosystem.
The AI Product Insights Analyst will design and deploy next-generation analytics capabilities that integrate predictive modeling, GenAI applications, and large-scale data engineering. This role is uniquely positioned to translate technical innovation into measurable business impact through AI-driven experimentation, model explainability, and precision targeting strategies.
What You’ll Do:
- Design, implement, and operationalize GenAI-enabled analytical frameworks that enhance personalization, automation, and decision intelligence.
- Develop and maintain data models and transformation pipelines using DBT, Databricks, and Python, with a focus on scalability, reproducibility, and performance optimization.
- Conduct feature attribution and ROI modeling to quantify the business value of AI features and inform enterprise prioritization.
- Lead prompt engineering and fine-tuning efforts for LLMs designed for financial services applications, ensuring accuracy, compliance, and ethical AI standards.
- Collaborate with data scientists, engineers, and business leaders to design AI-integrated product strategies and measure their impact through advanced experimentation frameworks.
- Deliver high-fidelity visual analytics and executive storytelling, synthesizing model results and behavioral insights into actionable strategic recommendations.
What You’ll Bring:
- Master’s degree in Data Science, Computer Science, Applied Mathematics, or related quantitative discipline.
- 3+ years of experience in AI analytics, applied machine learning, or data-driven product strategy, preferably in the Life Insurance space.
- Advanced proficiency in Python, SQL, DBT, Databricks, and data pipeline orchestration tools.
- Proven experience with Generative AI frameworks (e.g., LangChain, OpenAI API, Hugging Face Transformers) and prompt optimization for enterprise use.
- Strong foundation in predictive modeling, causal inference, and ROI estimation.
- Demonstrated ability to work within highly secure and compliant data environments, integrating responsible AI practices.
- Exceptional ability to communicate complex technical concepts through compelling data narratives and executive presentations.
- Proven track record of delivering strategic differentiated solutions at enterprise scale cross-domains such as Marketing, Sales, Finance, and Service.
Pay Transparency
Salary Range: $124,000-$177,000
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.
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.
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.
Job Requisition ID: 93135
See all 79+ Insights Analyst jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Insights Analyst roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an Insights Analyst
Frame your credentials for U.S. specialty occupation standards
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 purposes. Make sure your degree field maps clearly to the Insights Analyst role, whether that's statistics, economics, computer science, or a related discipline.
Target employers with active DOL disclosure history
Search the DOL's Office of Foreign Labor Certification disclosure data to identify companies that have filed Labor Condition Applications for analyst roles. Employers with prior LCA filings already understand the process and are faster to commit to E-3 sponsorship.
Clarify sponsorship scope before accepting an offer
Some hiring managers confuse E-3 sponsorship with H-1B lottery risk and decline before understanding the difference. Confirm your E-3 eligibility early in conversations so the offer stage isn't delayed by HR teams researching whether they can sponsor you.
Verify your employer qualifies to file your LCA
Your employer must be registered with DOL's FLAG system to file your Labor Condition Application. If they're new to E-3 sponsorship, they'll need to complete this registration before your LCA can be submitted, which adds lead time to your start date.
Use Migrate Mate's E-3 filing service once you have an offer
The LCA and visa paperwork can stall even straightforward cases if the employer hasn't done this before. Migrate Mate's E-3 filing service manages the entire process from offer to consulate appointment, so neither you nor your employer has to figure out the steps alone.
Time your consulate appointment around your employer's LCA certification
DOL certifies LCAs within seven business days, but you can't schedule your visa interview until certification is complete. Build this into your start date negotiation so you're not caught requesting a delay after your offer letter is signed.
Insights Analyst jobs are hiring across the US. Find yours.
Find Insights Analyst JobsInsights Analyst E-3 Visa: Frequently Asked Questions
How do I find Insights Analyst jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. Rather than filtering through general job boards, you can search for Insights Analyst positions where employers are already open to E-3 candidates, saving time and avoiding roles where sponsorship isn't on the table.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does an Insights Analyst role qualify as a specialty occupation for the E-3?
Yes, Insights Analyst roles typically qualify as specialty occupations because the position normally requires at least a bachelor's degree in a specific field such as data science, statistics, economics, or business analytics. The degree must relate directly to the duties of the role. If your employer's job description lists a degree as preferred rather than required, that can create a challenge during the LCA or visa review, so it's worth confirming the job posting reflects a genuine degree requirement.
How does the E-3 compare to the H-1B for Insights Analyst roles?
The E-3 has a significant practical advantage for Insights Analyst roles: there is no lottery. H-1B has an annual cap of 85,000 and a random selection process, meaning qualified candidates are frequently not selected. The E-3 has a 10,500 annual allocation that has never been exhausted, so you can apply at any time of year once you have a job offer and a certified LCA.
Can I change employers while working in the U.S. on an E-3 as an Insights Analyst?
Yes, but each new employer must file a fresh LCA and you'll need a new E-3 visa stamp if yours has expired or is tied to the previous employer's petition. There's no portability provision for the E-3 the way there is for H-1B under certain circumstances. You need to have the new LCA certified and, in most cases, attend a new consulate appointment before starting with the new employer.
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