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Clinical Data Analyst

4.00 to 10.00 Years   Mumbai City   01 Feb, 2023
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryRecruitment Services
Functional AreaIT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

    Urgent opportunity for Clinical Data Analyst- Mumbai Duties/Responsibilities: - Develop a strong understanding of source databases by analyzing big data assets and providing guidance on how to appropriately transform those assets into the target schema- Work with data extracted directly from the backend and warehouses of EMR systems as well as pre-and post- adjudicated medical and pharmacy claims data- Analyze, integrate, and transform data by working closely with research, product, engineering, and data science teams to define data elements, metadata, master/reference data rules, and processes to abstract and integrate data from multiple sources- Define and implement source to target mappings to standardize data from a variety of healthcare organizations- Provide input to the engineering team regarding additional tooling that would improve CI processes in areas such as data traceability, quality control, and automation- Create deliverables such as source to target mappings, data dictionaries/specifications, and data request documents for data partners, customers, and vendors- Manage processes to improve the mapping and normalization of content within the database- Continuously improve quality control processes to ensure data integrity within data asset Required Skills/Abilities: - Strong understanding of relational databases (e.g. Snowflake, SQL Server), including proficiency in data analysis and loading- Strong querying and data analysis skills in SQL- Strong understanding of clinical terminologies (e.g. CPT/HCPCS, ICD-9/10, Medi-Span GPI, LOINC, SNOMED CT, etc.) and their uses in healthcare systems- Strong critical thinking and analytical mindset with an ability to perform detailed analyses and summarize findings at appropriate levels of detail using charts, summary statistics, and specific examples- Time management and organizational skills with an ability to juggle multiple tasks and prioritize tasks based on importance and time sensitivity,

Keyskills :
data managementcrfdata entryquality controlvalidationbig datadata sciencedata analysisdata integritytime managementcritical thinkingrelational databases

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