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Data Analyst I, II, III

Every industry needs data analysts, especially healthcare providers. Data analysts help to keep companies running as efficiently as possible by performing detailed investigations into all business practices. The data analyst will use information gathered from various resources in order to assess the status of the company and identify areas of improvement. Through a detailed mathematical understanding of the company, the data analyst will be able to help the company eliminate unhelpful practices and suggest better ones.

Data analysts will be given designations (I, II, or III) based primarily on work experience, but education and acquired skills will also be a determining factor. Less experienced analysts will be given more routine work and assist project leaders in researching and compiling data for reports. Those with at least a few years of experience in the field will have more autonomy and will be given more detailed analytic responsibilities. Those with a several years to decades of data analytics experience will oversee projects, identify areas of investigation, and work more closely with upper level management by providing data-driven guidance for the company.

Responsibilities

  • Pull data from various sources
  • Organize and select important data for projects
  • Perform detailed mathematical analyses of data using computerized models
  • Extrapolate patterns and trends from data
  • Eliminate useless or unhelpful data
  • Analyze quality of data
  • Draw conclusions from and recommend business practices based on data
  • Assess risk based on data
  • Generate reports based on analysis of the company’s past performance
  • Use predictive modeling to suggest ways to grow the business

Qualifications

  • S. in Mathematics, Economics, or Computer Science
  • Master’s in related field or an MBA preferred for senior positions
  • Minimal experience for Junior Data Analysts, Years of Experience for Intermediate and Senior Analysts
  • Mastery of Excel to perform analyses
  • Strong communication skills
  • Ability to work alone and in a team
  • Ability to translate detailed findings to non-specialists
  • Ability to pick up new information quickly
  • Strong attention to detail