Data Analyst

Job Description

Experience- 3-5 years
Job Location- Noida
Purpose is to understand the business logic and data elements supporting US healthcare industry. Resource will need and apply knowledge for developing and maintaining the necessary documentation for the organization to understand the data elements, respective sources, expected range of answers, and performance goals for all metrics used to monitor data clean-up and analytic efforts.

**Skills Required-**

• Expertise in Data wrangling/transformation -- people who can analyse an external data source, write transformation/clean-up scripts, and load data into structured and unstructured DB sources
• Knowledge of healthcare data, in particular US medical and pharmacy claims
• Experience with Business Intelligence, Data integration, Data Mining, Predicative Analytics and Big Data applications
• Ability to understand data entities, relationships, table structures, and flow of data throughout the organization
• Advanced knowledge of relational database functionality, SQL, and Stored Procedures in MySQL
• Advanced knowledge of Microsoft Excel
• Advanced knowledge of Python or R scripting language a plus
• Ability to perform Project Management for IT and Business functions
• Strong verbal and written communication skills
• Ability to perform multiple tasks in a fast paced, continually changing environment


• Work with the Business teams to understand data structures and logic tied to the intake of US medical claims, pharmacy claims, and results from health data analytic partners
• Research and Implement data technologies
• Write intake scripts to transform medical claims, pharmacy claims, biometrics, and social economic data and load into structured DB
• Write extracts to support interfaces with external analytic vendors
• Write intake scripts to transform analytic output from analytic partners and load into structured DB
• Experience as a business/data analyst in a data-centric project environment
• Strong SQL skills, comfortable with large volumes of data understands data transformation normalization and data-modelling
• System troubleshooting and problem solving across platform and application domains

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