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# Sr. Database Analyst

- **Company:** ExlService Holdings, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Computing, Databases, Customer Data Management, Data Integration, Data Systems, Data Warehousing, Python (Programming Language), SQL Databases, Data Streaming, Data Processing, Scripting, Cloud Platform System, Information Technology, Data Pipelines
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/23_73EE231491D26B1C8E597A2D3CEABD7C

## About the Role

Proven experience with SQL and Python. Strong background in data warehousing and cloud technologies. Demonstrated ability to set up and automate data pipelines. Experience in building and executing data roadmaps. Excellent project management skills. Understanding of C360 and its application in data integration. Basic knowledge of marketing principles and strategies. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Experience in client management and delivering tailored solutions.

Seniority level Mid-Senior level Employment type Full-time Job function Information Technology and Consulting Industries Business Consulting and Services and Banking #J-18808-Ljbffr

## Description

Develop and maintain SQL and Python scripts for data processing and analysis. Design and implement data warehousing solutions to support business intelligence and analytics. Manage and optimize cloud-based data platforms (e.g., Azure). Set up and automate end-to-end data pipelines to ensure efficient data flow and processing. Collaborate with stakeholders to build and maintain a data roadmap that aligns with business goals. Lead and manage data-related projects, ensuring timely delivery and quality outcomes. Utilize C360 understanding to enhance customer data integration and insights. Apply basic marketing knowledge to support data-driven marketing strategies. Manage client relationships and ensure their data needs are met effectively. Coordinate with clients to understand their requirements and provide tailored data solutions. Oversee project management activities, including planning, execution, and monitoring of data projects. Ensure clear communication and collaboration between internal
teams and clients.