Data Analytics Engineer Visa Sponsorship Jobs in New York
New York is one of the most active markets for data analytics engineer visa sponsorship, with major employers across finance, media, and technology concentrated in Manhattan and Brooklyn. Firms like JPMorgan Chase, Spotify, and Peloton have sponsored data analytics engineers, alongside a growing cluster of startups and consulting firms throughout the metro area.
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Location:
4910 Tiedeman Road, Brooklyn Ohio
Job Description
As part of Key’s second line-of-defense Compliance Risk Management function, the Risk Evaluation and Assurance Program (the “REA Program”) has the responsibility for evaluating Key’s ongoing compliance with applicable laws and regulations through the execution of compliance and operational risk monitoring and testing across Key’s lines of business, products, and functional activities. This role will be responsible for designing, developing, and maintaining Tableau dashboards and reporting solutions that support regulatory compliance, risk management, control monitoring, and executive decision-making. The ideal candidate possesses strong data visualization skills, experience working with large and complex datasets, and an understanding of governance, risk, and compliance processes. This individual will work closely with REA, Risk Management, Internal Audit, Data Analytics, and Technology partners to transform data into actionable insights that support effective risk oversight and regulatory compliance.
Essential Job Functions
- Work within a team of risk evaluation and assurance professionals, working to design, develop, and maintain Tableau dashboards, scorecards, and self-service reporting solutions to provide an independent second-line-of-defense approach to risk-based monitoring, testing, and analytics.
- Demonstrate strong collaboration skills by partnering with business teams to gather reporting requirements and translate them into scalable analytical solutions.
- Explore and analyze data to identify trends and outliers, evaluate compliance with internal policy/procedures and/or regulatory requirements, and assess root cause(s) of any issues identified.
- Develop data models and data visualization standards that support regulatory reporting, compliance monitoring, control testing, risk assessments, and issue management activities. Ensure data accuracy through validation, reconciliation, and quality assurance procedures. Optimize Tableau workbooks for performance, usability, scalability, and maintenance.
- Connect Tableau to multiple data sources, including SQL Server, cloud-based data warehouses, data lakes, and enterprise reporting repositories.
- Develop and support automated reporting processes and recurring management reporting packages. Create technical documentation, data dictionaries, and user training materials.
- Support audits, regulatory examinations, and management inquiries related to compliance reporting and analytics.
- Working knowledge, as well as ability and interest in maintaining, and continuously developing knowledge of banking products (e.g. – lending, deposits, etc.) and ability to understand its applicability to data analytics, testing, and monitoring strategies.
- Ability and interest in developing knowledge of financial services industry source systems (e.g. loan origination/servicing, deposits, etc.), operations/process flows, banking regulations, and compliance frameworks.
Required Qualifications
- Bachelor’s Degree in Information Technology/Systems (IT / MIS), Business Analytics, Computer Science, or other related quantitative or IT field of study.
- Minimum 2 years of practical and functional experience in data analysis and reporting typically achieved through work as a: business, data, operations, compliance, or risk analyst; internal auditor; or role that includes significant aspects of the listed essential job functions.
- Strong SQL skills, including complex joins, aggregations, window functions, and performance optimization.
- Skill and ability to work with big data and navigate data warehouse(s) and retrieving, combining, and analyzing data.
- Experience with retrieving and a proficient understanding of banking products and transactional data and customer information data.
- Autonomous, self-motivated, and flexible with the ability to adapt quickly to change or shifting priorities in a fast-paced environment.
- High ethical standards, strong critical/strategic thinking, detective, analytical, and problem-solving skills.
- Strong interpersonal skills, effective communication (verbal and written) with the ability to develop and maintain strong, collaborative relationships in a team environment and with mid- to senior-level management and internal clients.
- Required Technical Skills: Tableau Desktop, Tableau Server / Tableau Cloud, SQL, Data Visualization and Dashboard Design, Microsoft Excel
Preferred Skills/Competencies
- Knowledge of financial services industry source systems (e.g. loan origination/servicing, deposits, etc.), operations/process flows, banking regulations, and compliance frameworks.
- Advanced knowledge, professional certification, or expertise in database querying, data transformation, data visualization, and/or analytical software or programming languages (e.g. SAS, SQL, ACL, Tableau, etc.)
- Preferred Technical Skills: Python, SAS, BigQuery, Power BI, ETL and Data Integration Tools
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $80,000.00 - $150,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 10/11/2026
KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
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Data Analytics Engineer Job Roles in New York
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Search Data Analytics Engineer Jobs in New YorkData Analytics Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in New York?
Financial institutions and large technology companies are among the most consistent sponsors. JPMorgan Chase, Citigroup, Bloomberg, and Goldman Sachs regularly file Labor Condition Applications for data analytics engineers in New York. Major tech employers including Google, Amazon, and Spotify also maintain active sponsorship programs at their New York offices. Consulting firms such as Deloitte and Accenture sponsor across their data and analytics practices as well.
Which visa types are most common for data analytics engineer roles in New York?
The H-1B visa is the most common visa category for data analytics engineers in New York, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates from Australia may qualify for the E-3 visa, and Canadian and Mexican nationals may be eligible for the TN visa under the software engineer or systems analyst categories. L-1B visas are also used when a candidate transfers intracompany from an overseas office.
Which cities in New York have the most data analytics engineer sponsorship jobs?
Manhattan accounts for the largest concentration of data analytics engineer sponsorship jobs in New York, driven by the finance, media, and technology sectors headquartered there. Brooklyn's tech corridor, particularly around DUMBO and Industry City, has a growing number of startups and mid-size companies that sponsor data roles. Smaller pockets of activity exist in Long Island City and Buffalo, particularly at firms with regional offices or operations centers.
How to find data analytics engineer visa sponsorship jobs in New York?
Migrate Mate is built specifically for international candidates searching for visa sponsorship roles and filters data analytics engineer jobs by location, including New York. Because sponsorship willingness is often not stated in standard job postings, Migrate Mate focuses on employers with a documented history of sponsoring work visas. Filtering by New York on the platform surfaces relevant openings across finance, tech, and media companies that have previously supported international candidates in this role.
Are there any New York-specific considerations for data analytics engineers seeking visa sponsorship?
New York's prevailing wage requirements for H-1B and E-3 visa Labor Condition Applications reflect the high cost of living in the metro area, meaning employers must pay at or above the Department of Labor's determined wage levels for the region. The depth of New York's university pipeline, including graduates from NYU, Columbia, and Cornell Tech, means competition for sponsored roles can be strong. Candidates with experience in financial data systems, real-time analytics, or SQL-based data modeling tend to align well with the industries that dominate New York's sponsorship activity.
What is the prevailing wage for sponsored data 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.