Required Skills and Experience *
3+ years of Experience in SQL database(s) - Ability to assess and analyze data with fluency in variety of enterprise systems like Cloud Database(s) & Technologies, on prem database like SQL Server, Db2, Teradata and HL7
1+ year experience in Cloud technologies (Microsoft, Google or AWS). Preferred Azure and GCP platform
Experience in Reporting tools like Looker and/or PBI
Experience in the complete data analytics project life cycle is required (requirements gathering, architecture, design, implementation, and support)
Nice to Have Skills and Experience
Working understanding of health industry data standards/normalization required for data interoperability and health information exchange (i.e. LOINC, SNOMED-CT, RxNorm, ICD-9, etc).
Job Description *
Insight Global is hiring a local Healthcare Data Analyst to join one of the largest healthcare providers in the country. This role utilizes data knowledge expertise, healthcare knowledge and skills to ensure data analytics objectives and requirements are met. IT Data Analyst works with IT and business stakeholders to identify processes and solutions to combine and normalize information from many disparate sources. This position improves data quality and consistency, supports program data requirements by analyzing process controls, creates common vocabulary, and performs root cause analysis.
-Responsible for data mapping exercise for applications, data systems
-Perform data analysis, using in-depth knowledge of databases, non-structured and healthcare data
-Responsible for analyzing business requirements, designing, and developing quality and patient data registry applications or repositories.
-Works to think analytically and critically to lead data standardization and automating efforts
-Excellent communication skills to work with various product analyst/business users to understand data needs
-Provide advanced analysis and ad hoc operational data quality and data literacy reports as requested by stakeholders, business partners, and leadership.
-Good Data knowledge from a functional and technical side.
-Ability to understand clinical data in order to develop and design dataset models, data quality rules, and business requirement analysis.
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