Analytics Engineer Visa Sponsorship Jobs in New York
Analytics engineer roles in New York are concentrated across financial services firms in Manhattan, media and ad-tech companies, and a growing base of enterprise tech employers. Major sponsors include JPMorgan Chase, Bloomberg, Spotify, and Conde Nast. New York's density of data-driven organizations makes it one of the most active states for analytics engineer visa sponsorship.
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ABOUT THE ROLE:
We’re hiring an Analytics Engineer to help design and build a PBM Financial Risk Engine that brings together claims, contract terms, pricing and utilization data to support financial forecasting, risk assessment and performance monitoring. This role is ideal for someone who is strong in dbt and analytics engineering and who enjoys working at the intersection of healthcare economics, PBM operations and data modeling. The ideal candidate will play a pivotal role in developing and maintaining our financial risk engine data models, onboarding new data sources and optimizing existing data sources and packaging the data in a way that promotes seamless reporting while paving a way for innovation through advanced analytics. This role will involve delivering and analyzing PBM financial data for various analytics use cases within our Unified Data Warehouse (UDW) and productionalizing AI and ML solutions through the curated data to drive impactful healthcare insights.
WHAT YOU’LL DO:
- Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems using PBM data.
- Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM financial risk engine, leveraging claims, eligibility, pricing, rebates, guarantees and contract data in our Unified Data Warehouse (UDW).
- Translate complex PBM contract and pricing structures (e.g plan paid vs. member paid, rebates, guarantees, caps, fees, exclusions) into transparent, auditable data models that enable financial analysis and risk assessment.
- Partner closely with underwriting, finance, client success and PBM operations teams to understand financial assumptions, risk drivers and reporting requirements and convert them into reliable metrics and models.
- Build curated financial and risk data marts and semantic layers that enable self service analysis for forecasting, scenario modeling and executive reporting among other things.
- Own core financial KPIs and risk metrics E2E from raw claims and contract inputs through production grade models, ensuring consistency and traceability.
- Implement automated data quality checks, reconciliations and controls to validate financial outputs and ensure alignment with source systems and contractual logic.
- Continuously optimize data models and warehouse performance to support large scale claims volumes and time-sensitive financial analysis.
- Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability.
- Communicate complex financial insights clearly through data memos, documentation and presentations for both technical and non technical stakeholders.
- Explore advanced analytics and predictive modeling use cases (e.g utilization forecasting, trend analysis, risk stratification, margin sensitivity) to enhance financial planning and decision making. Experience operationalizing ML models is a plus.
WHO YOU ARE:
- Expert level proficiency in SQL and statistical programming (Python, R).
- 3 to 4 years working experience with data modeling, dbt and analytics engineering best practices (testing, documentation, incremental models, semantic layers).
- Experience in cloud platforms (preferably in AWS) and hands-on experience in cloud data warehouses (Redshift or Snowflake).
- Business acumen with exposure to PBM, healthcare finance, underwriting or actuarial concepts.
- Experience modeling large scale claims data and translating contractual or financial rules into clear, testable data logic.
- Strong analytical and problem-solving skills.
- Ability to understand, tackle, and solve problems from both technical and business perspectives.
- Comfortable partnering closely with finance, underwriting and operations stakeholders to align data models with real world financial decisions.
- High attention to detail and a bias toward accuracy, transparency and explainability in financial reporting.
SALARY (Before Bonus Potential): $140,000
CYBERSECURITY AWARENESS NOTICE
In response to ongoing and industry-wide fraudulent recruitment activities (i.e., job scams), Rightway wants to inform potential candidates that we will only contact them from the @rightwayhealthcare.com email domain. We will never ask for bank details or deposits of any kind as a condition of employment.
ABOUT RIGHTWAY:
Rightway is on a mission to harmonize healthcare for everyone, everywhere. Our products guide patients to the best care and medications by inserting clinicians and pharmacists into a patient’s care journey through a modern, mobile app. Rightway is a front door to healthcare, giving patients the tools they need along with on-demand access to Rightway health guides, human experts that answer their questions and manage the frustrating parts of healthcare for them.
Since its founding in 2017, Rightway has raised over $130mm from investors including Khosla Ventures, Thrive Capital, and Tiger Global at a valuation of $1 billion. We’re headquartered in New York City, with a satellite office in Denver. Our clients rely on us to transform the healthcare experience, improve outcomes for their teams, and decrease their healthcare costs.
HOW WE LIVE OUR VALUES TO OUR TEAMMATES:
We’re seeking those with passion for healthcare and relentless devotion to our goal. We need team members that embody our following core values:
1) We are human, first
Our humanity binds us together. We bring the same empathetic approach to every individual we engage with, whether it be our members, our clients, or each other. We are all worthy of respect and understanding and we engage in our interactions with care and intention. We honor our stories. We listen to—and hear—each other, we celebrate our differences and similarities, we are present for each other, and we strive for mutual understanding.
2) We redefine what is possible
We always look beyond the obstacles in front of us to imagine new solutions. We approach our work with inspiration from other industries, other leaders, and other challenges. We use ingenuity and resourcefulness when faced with tough problems.
3) We debate then commit
We believe that a spirit of open discourse is part of a healthy culture. We understand and appreciate different perspectives and we challenge our assumptions. When working toward a decision or a new solution, we actively listen to one another, approach it with a “yes, and” mentality, and assume positive intent. Once a decision is made, we align and champion it as one team.
4) We cultivate grit
Changing healthcare doesn’t happen overnight. We reflect and learn from challenges and approach the future with a determination to strive for better. In the face of daunting situations, we value persistence. We embrace failure as a stepping stone to future success. On this journey, we seek to act with guts, resilience, initiative, and tenacity.
5) We seek to delight
Healthcare is complicated and personal. We work tirelessly to meet the goals of our clients while also delivering the best experience to our members. We recognize that no matter the role or team, we each play a crucial part in our members’ care and take that responsibility seriously. When faced with an obstacle, we are kind, respectful, and solution-oriented in our approach. We hold ourselves accountable to our clients and our members’ success.
Rightway is PROUDLY an Equal Opportunity Employer that believes in strength in the diversity of thought processes, beliefs, background and education and fosters an inclusive culture where differences are celebrated to drive the best business decisions possible. We do not discriminate on any basis covered by appropriate law. All employment is decided on the consideration of merit, qualifications, need and performance.
Analytics Engineer Job Roles in New York
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Search Analytics Engineer Jobs in New YorkAnalytics Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in New York?
Financial institutions like JPMorgan Chase, Goldman Sachs, and Citigroup are among the most active H-1B visa sponsors for analytics engineering roles in New York. Tech-forward media and ad-tech companies, including Bloomberg, Spotify, and Verizon Media, also file regularly. Enterprise software and consulting firms with large New York offices, such as Deloitte and Accenture, sponsor analytics engineers as well.
Which visa types are most common for analytics engineer roles in New York?
The H-1B is the most common visa for analytics engineers in New York, as the role typically requires a bachelor's degree or higher in computer science, data science, statistics, or a related field, qualifying it as a specialty occupation. Candidates already holding OPT or STEM OPT through a U.S. university can work while H-1B sponsorship is pursued. The O-1A is an option for those with a demonstrable record of exceptional achievement in data or engineering fields.
Which cities in New York have the most analytics engineer sponsorship jobs?
Manhattan accounts for the overwhelming majority of analytics engineer sponsorship activity in New York, driven by finance, media, advertising technology, and enterprise tech employers. Brooklyn's tech corridor, particularly around DUMBO and Downtown Brooklyn, has grown as a secondary hub. Albany and Buffalo have a smaller but present concentration tied to state government data initiatives and regional healthcare systems.
How to find analytics engineer visa sponsorship jobs in New York?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse analytics engineer roles in New York without sorting through positions that don't sponsor. The platform surfaces employers who have a documented history of filing for work visas in technical roles, which is particularly useful in New York where many postings don't explicitly state sponsorship status upfront.
Are there any New York-specific considerations for analytics engineers seeking visa sponsorship?
New York's prevailing wage requirements for H-1B roles are set at competitive levels given the cost of living, particularly for Manhattan-based positions, meaning employers must meet Department of Labor wage determinations before filing. New York also has a strong university pipeline, with graduates from Columbia, NYU, and Cornell Tech frequently entering the local analytics engineering market and seeking OPT-to-H-1B transitions with established New York employers.
What is the prevailing wage for sponsored analytics engineer jobs in New York?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.