Job Description :
Job Description:
Analyze source specifications and build data mapping documents
Identify and document applicable non-functional code sets and reference data across healthcare domains
Understand profiling results and validate data quality rules
Utilize data analysis tools to construct and manipulate datasets to support analyses
Collaborate with and support Quality Assurance (QA) in building functional scenarios and validating results

Technical/Non-Technical Skills
5+ Years of SQL knowledge
Interpret data, analyze results using statistical techniques and provide ongoing reports/insights
Must have heathcare domain knowledge (Payer knowledge will be an added advantage)
Acquire data, Identify, analyze, and interpret trends or patterns, Filter and “clean” data
Experience in Maintaining and enhancing Big Data data pipeline, hands on working with Large and complex data sets that meet functional /non-functional business requirements.
Experience in Big Data technologies like Kafka, Spark, Data Lake
Experience in Reference Data and Master Data Management, Data Governance
Experience with Analytical tools like R, SAS, Tableu and creation/migration of Analytical models
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues
Work with data and analytics experts to strive for greater functionality in our data systems