Sr. Data Analyst

Ex; New York (NY); Hybrid; USD 120,000 - 135,000; Full time

Job summary

EXL Service in the United States is seeking a resource to work with the client leadership team to build a global corporate hierarchy framework and define entity relationships. This role focuses on aligning data models and governance across functions to support enterprise-wide servicing, risk management and regulatory use cases.

The position requires collaboration with senior stakeholders, exposure to large-scale data structures, and the ability to drive consistency across diverse systems in a

Responsibilities

• Define entity relationships for a global corporate hierarchy.
• Improve hierarchy accuracy across systems and data sources.
• Support enterprise customer servicing, risk and regulatory use cases.

Job description

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

Job Overview:

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.