[İş Radarı](https://jobradar.live/) / [Jobs](https://jobradar.live/ilanlar) / Sr. Data Analyst

Active
On-site
New York City Metropolitan Area
Posted · 24.09.2026
LinkedIn Jobs US

# Sr. Data Analyst

EXL

Work Location: United States Work Mode : NYC, Hybrid Pay Range :$120K-$135K /Yr Base + Annual Bonus The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits Description: The resource will work with the client leadership team to build a global corporate hierarchy framework. The role involves defining entity relationships, improving hierarchy accuracy, and supporting enterprise customer servicing, risk, and regulatory use cases. Responsibilities
• Designing and enhancing the global corporate hierarchy framework using internal and third-party data.
• Building and validating parent-subsidiary and associated entity relationships.
• Defining business rules and governance controls to ensure hierarchy accuracy and consistency.
• Performing data analysis to improve linkage quality and data integrity.
• Collaborating with business, product, and engineering teams to deliver scalable solutions.
• Supporting project delivery, stakeholder communication, and executive reporting. Qualifications
• Experience of working on corporate banking products
• Strong data analytics, SQL skills, BigQuery
• Hands-on experience on large datasets
• Understanding of Agile framework
• Banking Experience
• Client/Stakeholder Management

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