Job Title: Data Architect/Analyst
Role Overview:
We are seeking a Data Architect/Analyst to analyze, develop, and optimize data warehouse that supports business intelligence, analytics application. The ideal candidate will work closely with business stakeholders and IT teams to understand data requirements, define architecture standards, and ensure efficient integration of data across systems.
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL's Human Resources team, as well as our hiring managers.
Required Skills:
ETL Design, Development, and Optimization
Data Modeling and Data Integration
Business Intelligence and Analytics
Enterprise Architecture Frameworks
Technical Solution Design
Risk Assessment and Mitigation
Strong Communication and Stakeholder Management Skills
Qualifications:
Bachelor's degree in computer science, Information Technology, Engineering, or a related field
5+ years of relevant experience in Data Architecture, Data Engineering, or related data management roles.
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.
Base Compensation Range: 120,000 - 130,000
Key Responsibilities:
Develop and optimize ETL processes to support data integration and transformation requirements.
Collaborate with business and technical teams to gather, analyze, and translate requirements into data solutions.
Support business intelligence and analytics initiatives by ensuring data availability, quality, and consistency.
Ensure solutions align with enterprise architecture standards, security requirements, and best practices.
Conduct risk assessments and identify opportunities to improve data management processes.
Key Responsibilities:
Develop and optimize ETL processes to support data integration and transformation requirements.
Collaborate with business and technical teams to gather, analyze, and translate requirements into data solutions.
Support business intelligence and analytics initiatives by ensuring data availability, quality, and consistency.
Ensure solutions align with enterprise architecture standards, security requirements, and best practices.
Conduct risk assessments and identify opportunities to improve data management processes.