Research Analyst

  • location: Charlotte, NC
  • type: Contract
  • salary: $40 - $45 per hour
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job description

Research Analyst

job summary:
This position is responsible for extracting data, cleansing data, analysis of data, and data management for report development for Premier pharmaceutical/medical device clients, other external clients (government, academic organizations, and research organizations) and for internal clients. In addition this position implements analytical strategies to support data analysis of the Premier Healthcare Database (PHD) for both internal and external clients, and assists Premier researchers in developing methods to provide methodologically sound solutions to answer client questions. This role also provides the quality assurance review of the data and reports. The person in this position must have the ability to manipulate data and perform analyses using programs such as SAS and SQL.

This position functions internally in collaboration with PRS Principal Research Scientists, PRS Research Analysts, PRS Data Research and Analytics Manager, Market Development Management, Product Management, Informatics IT, Data Warehouse team, and other stakeholders to ensure required deliverables are met.

This role includes analytic independent thinking while performing more complex research projects with less supervision than the Associate Research Analyst

 
location: Charlotte, North Carolina
job type: Contract
salary: $40 - 45 per hour
work hours: 9am to 5pm
education: Bachelors
 
responsibilities:
Data Analysis and Report Development Using SAS programming

  • Run and deliver data extracts including custom data extracts from the data base(s): NETEZZA (warehouse) etc.
  • Develop UNIX and PC Programs using SAS and SQL for new and ongoing projects
  • Review and clean data to create appropriate analytical files
  • Produce data tables and reports for clients for internal customers and external customers (e.g., pharmaceutical manufacturers, medical device manufacturers, the government, hospitals).
  • From a programming perspective, provide detailed review and analysis that includes reviewing code, warehouse loads, mappings, etc.
  • Conduct quality assurance reviews, comparing data to other benchmarks and data releases
  • Provide status updates to internal and external stakeholders as needed
  • Run ad-hoc analyses
  • Implement departmental "best practices" regarding all SAS programming techniques, including SAS macros, functions, and reporting functions
  • Support development of standard methodologies and algorithms for analysis
  • Produce and store documentation of analyses and results that includes project plan detail, data sources, data preparation, analytical methodologies implemented and other details sufficient to support both quality assurance and replication of analyses, and high level summaries of project work as needed.
 
qualifications:










Minimum Entry Requirements





Preferred









Education:





Bachelor's degree





Graduate degree









Area of Study:





Healthcare, Statistics, Business or IT















Years of Experience:





3 or more years of applicable experience.





5 years









Type of Experience:





Healthcare and/or IT environment; similar research and analysis experience; experience using large, complex medical data; intermediate to advanced level of Structured Query Language (SQL) programming and other data querying tools SQL; Intermediate to advanced level of SAS programming techniques (BASE.GRAPH/MACRO)











 
skills:











Minimum Entry Requirements





Preferred









Education:





Bachelor's degree





Graduate degree









Area of Study:





Healthcare, Statistics, Business or IT















Years of Experience:





3 or more years of applicable experience.





5 years









Type of Experience:





Healthcare and/or IT environment; similar research and analysis experience; experience using large, complex medical data; intermediate to advanced level of Structured Query Language (SQL) programming and other data querying tools SQL; Intermediate to advanced level of SAS programming techniques (BASE.GRAPH/MACRO)












Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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