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Data Analyst (Python/SQL)

0 years

3 - 5 Lacs

Posted:3 days ago| Platform: GlassDoor logo

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Work Mode

Remote

Job Type

Part Time

Job Description

Summary


As a Data Analyst at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position.

Your role in our mission


  • Uses multi-dimensional and/or relational databases such as OLAP to identify and maintain the high-volume and high dimensionality data needed to support predictive models. Performs data compilation, cleansing and processing; queries databases and performs basic statistical analysis.
  • Determines informational needs and elements for using analytic techniques such as cluster analysis and association rules to build predictive models. Defines logical attributes and inter-relationships and assists in identifying possible correlations between variables of interest.
  • Assists in the design and implementation of high impact and predictive modeling initiatives.


Basic Qualifications

  • Bachelor's degree or equivalent combination of education and experience
  • Three or more years experience in data analytics and/or modeling
  • Experience with multi-dimensional and/or relational databases such as NoSQL, OLAP, and others
  • Experience in manipulating high-volume, high-dimensionality data from varied sources using big data integration and analysis tools such as R, Matlab, SAS
  • Experience with data cleansing, validation and general quality control principles


Other Qualifications

  • Basic programming skills and familiarity in Java, Scala, Python, and/or similar
  • Basic problem solving skills to understand business challenges
  • Basic communication skills both oral and written
  • Ability to work independently and in a team environment
  • Ability to handle multiple tasks and switch between tasks quickly


Work Environment

  • Hybrid/Remote environment

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