Company
| Legal Name | PrimaFelicitas Limited |
| Headquarters | Noida, India |
| Website | https://primafelicitas.com |
Job Summary We are looking for a senior data analyst. We will need the Data Analyst to have a good understanding of the business processes associated with the Insurance industry, especially the Property and Casualty claims process. We will need the Data Analyst to analyze data (Claims Data) in legacy MainFrame Databases such as DB. The Data Analyst should be in the position to analyze the transformation programs written in RPG, Cobal and other legacy programs. We would like the DA to convert these programs into business specs for migration. We will need the Data Analyst to analyze Claims data in more conventional Data Warehouses in Oracle and SQL Server. We will need the Data Analyst to present the Gap between the Main Frame and conventional DWH and present it to the Architecture team to show the gap in the data. We will need the DA to create Data conceptual, logical and physical Data models in AWS Redshift to suit the needs of the business. We will need the candidate to work in professional manner. We will need to Data Analyst to swift in presentation and in interacting with senior Data Architects. Please also let us know if you are willing to work in US hours.Interview is by invitation only.If you are a diligent candidate with excellent verbal, written and analytical abilities, please write to us with Your resume Notice period Current salary and expected salary. Visit our website throughly- www.primafelicitas.com Also confirm the date and time when you can come for interview before coming. Job Type: Full-time Salary: ₹40,000.00 to ₹70,000.00 /month Experience: total work: 2 years (Preferred) Education: Secondary(10th Pass) (Preferred) Industry: Software Development
| Country | City | Job Ads |
|---|---|---|
| India | Noida | 30 |
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Legal Form: Limited
Company Type: Private
Company Size: 11 - 50
Revenue: 5 - 25 million (USD)
Job Ads found: 30
Job Ads per Month: 2.3
Hiring Locations: 1
| Date of first job ad | 18.02.2020, 08:39 |
| Date of last job ad | 20.04.2026, 11:33 |
| Date merged | 21.05.2026, 18:57 |
| Date created | 18.02.2020, 08:39 |