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Job ID : 34812

Location : Austin, TX

Company Name : Atechstar

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $34000 - $44000  per hour

No. of Positions : I have ongoing need to fill this role


Required Skills : Data cleaning, preparation, Data analysis..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Responsibilities:

  • Select, optimize and integrate data science tools and frameworks required to provide data analytics solutions.
  • Implement complex data projects with a focus on collecting, parsing, managing, analyzing and visualizing data to turn information into insights using multiple platforms.
  • Apply analytical, critical thinking and problem-solving skills to fulfill requests for information.
  • Engage customers for feedback on data solutions and recommend changes based on that feedback.
  • Create and manipulate analytics reports using a variety of reporting sources.
  • Collaborate effectively with other teams and researchers to solve complex problems spanning their respective areas.
  • Refine and scale data management and analytics procedures, systems, workflows, and best practices.
  • Analyze unstructured data.
  • Build prototypes and proof of concepts for the possible solutions.
  • Code, test, and document new or modified data systems to create robust and scalable applications.
  • Contribute to efforts in creating, refining, managing and enforcing data management policies, procedures, conventions and standards.
  • Diagnose problems using formal problem-solving tools and techniques from multiple angles and probe underlying issues to generate multiple potential solutions.
  • Proactively anticipate and prevent problems.
  • Keep abreast of developments in the data analytics field, writing technical reports, conference and journal papers as appropriate, review scientific papers and proposals as appropriate.

Key Skills:

  • Data cleaning and preparation.
  • Data analysis and exploration.
  • Statistical knowledge.
  • Creating data visualizations.
  • Creating dashboards and reports.
  • Writing and communication.
  • Domain knowledge.
  • Problem solving.

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