11+ years of experience in ETL and SQL Data Analytics role with Very good understanding of Healthcare domain- Customer, Medical Claims, Member, Payers, Claims, Providers etc.
Work with client business stakeholders to capture business requirements
Responsible for collecting, analyzing, and interpreting large datasets to drive business insights and support data-driven decision-making.
Translate requirements into technical specifications, data models, data mapping and transform rules.
Responsible for the analysis of requirements in order to create technical data requirements, logical data models, design report logic, and write code to produce the data set(s).
Perform quantitative analysis on data from various sources
Strong background in SQL, database management, and data manipulation techniques, along with a passion for uncovering meaningful patterns and trends.
Develop and maintain complex SQL queries to extract and manipulate data from various databases and data sources.
Analyze large datasets to identify trends, patterns, and correlations, and present findings to stakeholders in a clear and actionable manner.
Collaborate with cross-functional teams to understand business requirements and translate them into data analysis tasks.
Data Analytics with SQL (Table joins, Aggregate functions, Sorting data, Filtering data, analytic queries)
Proficiency in the following database technologies: Teradata, Netezza, Oracle, SQL Server.
Should be familiar with the SDLC life cycle, data modeling, data management practices, SAFe Agile, and SQL/ETL development.
Required Skills · Relation data modeling · ETL system design and development.
Data management practices and procedures · NoSQL development.