Senior Technical Data Analyst
Clearwater AnalyticsNoida, Uttar Pradesh, India
Posted November 17, 2025
Full Time
About the Company
Clearwater Analytics (NYSE: CWAN) is the leading provider of web-based investment portfolio accounting, reporting, and reconciliation services for institutional investors at thousands of organizations. Clearwater aggregates, reconciles, and reports on more than $6.4 trillion in assets across thousands of accounts daily. Our clients include corporate treasuries, insurance companies, investment managers, banks, governments, and other institutional investors both in the United States and worldwide. For more than a decade, we have leveraged web-based software and world-class client service to help clients such as American Family Insurance, Arch Capital, C.V. Starr & Co., Cisco, Facebook, Oracle, Selective Insurance, Sirius Group, Sompo International, Starbucks, WellCare Health Plans, Wilton Re, and many others, streamline their investment and accounting operations. Clearwater also works with hundreds of custodians, investment managers, dealers/brokers, and electronic trading portals who offer Clearwater to their many clients. With global headquarters in Boise, Idaho, and offices in Edinburgh, Frankfurt, London, New Delhi, New York, Paris, Seattle, Singapore, and Washington D.C., Clearwater sets the new global standard for investment portfolio reporting.
Job Description
The Technical Data Analyst is responsible for maintaining investment data for clients, analyzing and organizing raw data, building data systems and pipelines, conducting complex data analysis, and presenting information through data visualization techniques.
Requirements
- Deep understanding of investment data.
- Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure).
- Understanding of database design and data warehouse principles.
- Knowledge of one or more programming languages (e.g. Java, Python, VBA).
- Proficiency in data manipulation and data cleansing techniques.
- Knowledge of data governance and best practices in data management.
- Continuous improvement mindset for self and team.
- Ability to work collaboratively in a cross-functional team environment.
- Ability to work with large datasets and perform data mining tasks.
- Strong computer skills, including proficiency in Microsoft Office.
- Excellent attention to detail and strong documentation skills.
- Outstanding verbal and written communication skills.
- Strong organizational and interpersonal skills.
- Exceptional problem-solving abilities.