{
  "job_id": "WLkc6WESq5WYF0MVAAAAAA==",
  "job_city": "Leipzig",
  "job_state": null,
  "job_title": "Junior Data Analyst",
  "job_salary": null,
  "job_country": "DE",
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  "job_latitude": 51.3396955,
  "job_location": "Leipzig",
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      "publisher": "DEVjobs.de",
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  "employer_name": "WIG2 GmbH",
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  "job_posted_at": "vor 26 Tagen",
  "job_publisher": "DEVjobs.de",
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  "job_description": "Your role in the team\n• Integration, preparation, and transformation of data from existing analytics and data pipelines.\n• Translation of technical questions into appropriate KPI logics, data models, and visualization concepts.\n• Ensuring reproducible results through versioned data models, standardized calculation protocols, and documented data flows.\n• Maintenance and development of databases as well as queries in SQL.\n• Close collaboration with analysts, scientists, and clients to ensure consistent representation of analytical results in dashboards.\n• Documentation of data models, KPIs, visualization logic, and technical dependencies.\n• Preparation, design, development, and maintenance of interactive dashboards and reports (focusing on Power BI and/or Shiny).\n\nTechnologies and skills\n• Git\n• Shiny\n• Python\n• R\n• Power BI\n• SQL\n\nOur expectations:\n\nQualifications\n• Good understanding of data preparation, data modeling, and data analysis using SQL and R/Python.\n• Initial exposure to CI/CD concepts in the Analytics or BI environment (e.g., Git, deployment strategies, automated testing).\n• Analytical thinking, technical understanding, and enjoyment of structured work.\n• High willingness to learn and interest in data-driven work in healthcare.\n\nExperience\n• Ideally, initial practical experience in developing dashboards (PowerBI and/or Shiny).\n\nEducation\n• A successfully completed degree in Computer Science, Statistics, Mathematics, Data Science, Business Informatics, or a comparable qualification.\n\nBenefits\n• * Flexible Working Hours",
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  "job_employment_type": "Vollzeit",
  "job_employment_types": [
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  "job_posted_at_timestamp": 1771804800,
  "job_posted_at_datetime_utc": "2026-02-23T00:00:00.000Z"
}