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Information Technology / Experienced / Part Time Remote Python Data Analyst Jobs

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  • Senior Health Data Analyst

    A company is looking for a Senior Health Data Analyst to develop and refine methodologies for evaluating healthcare providers.

    Stata Python SAS R
  • Data Scientist

    their data needs and deliver tailored solutions Required Qualifications 3+ years of experience in data transformation, systems integration, or message translation Experience with serialized binary formats and communication protocols Knowledge of Python...and data manipulation libraries Bachelor's degree in Computer Science, Data Science, or Electrical Engineering Secret clearance

    Data Transformation Systems Integration Message Translation Communication Protocols
  • Healthcare Data Analyst

    A company is looking for a Healthcare Data Analyst to join their Clinical Analytics team.

    SQL R Python SSRS
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  • Travel Analyst

    A company is looking for a Travel Analyst to support data-driven solutions for the Department of Defense.

    SAP Concur Excel Word PowerPoint
  • Senior Systems Analyst

    A company is looking for a Senior Systems Analyst (Data Analyst).

    Data Analysis Data Design ETL Data Modeling
  • Senior Data Engineer

    Key Responsibilities: Design, develop, and maintain automated data pipelines for analytics and data science Establish operating standards and service-level agreements with analysts and data scientists Lead technical discussions on data architecture...and collaborate with engineering teams Required Qualifications: 5+ years of experience in data engineering and data modeling Proficiency in Python and scalable data infrastructure Deep expertise with cloud-based data platforms, preferably AWS Experience

    Data Engineering Data Modeling Dimensional Modeling Cloud-based Platforms
  • Senior Data Engineer

    reports to drive business behavior Take ownership of projects by collaborating with engineers and stakeholders to design data solutions Required Qualifications Experience across the data stack including ingestion, storage, and analysis Proficiency in Python...and SQL Experience with data lake architectures and major cloud providers (AWS, GCP, Azure) Familiarity with multiple data processing and query engines (e.g., Spark, BigQuery) Strong interest in data and its business implications

    Data Pipelines OLAP Modeling Data Visualization Analyses