(Hybrid) Data Analyst

CIRCUIT Pratama ยท ๐Ÿ“ Lubuklinggau, Sumatera Selatan ยท Diposting 2026-10-11
FULL_TIMEโญ TERVERIFIKASI
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CIRCUIT Pratama is seeking a talented and detail-oriented Data Analyst to join our team. In this role, you will be responsible for analyzing and interpreting complex data sets to help our business make informed decisions. You will work closely with cross-functional teams to identify trends, patterns, and insights that drive business growth.

We offer a dynamic and collaborative work environment where your contributions will be valued and recognized. This is a hybrid role, allowing you to work both in the office and remotely, providing flexibility and work-life balance.

If you are passionate about data and have a strong analytical mindset, we encourage you to apply for this exciting opportunity.

๐Ÿ“‹ Tanggung Jawab Pekerjaan

Tanggung Jawab:

  • Collect, clean, and organize data from various sources
  • Analyze and interpret complex data sets to identify trends and patterns
  • Develop and maintain data models and dashboards
  • Create reports and presentations to communicate findings to stakeholders
  • Collaborate with cross-functional teams to drive data-informed decision making
  • Stay updated with the latest data analysis tools and techniques
  • Ensure data accuracy and integrity
  • Support the development of data-driven strategies and initiatives
  • ๐ŸŽ“ Kualifikasi & Syarat

    Kualifikasi:

  • Bachelor's degree in Data Science, Statistics, Mathematics, or related field
  • 2-4 years of experience in data analysis
  • Strong proficiency in SQL, Python, R, or other data analysis tools
  • Experience with data visualization tools such as Tableau, Power BI, or similar
  • Excellent communication and presentation skills
  • Strong problem-solving and analytical skills
  • Ability to work independently and as part of a team
  • Detail-oriented with a keen eye for accuracy
  • ๐Ÿ› ๏ธ Keahlian

    SQLPythonRTableauPower BIData VisualizationData ModelingStatistical AnalysisData MiningMachine Learning
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