(Hybrid) Data Analyst

PT Kencana Maha ยท ๐Ÿ“ Sunter, Jakarta Raya ยท Diposting 2026-10-12
FULL_TIMEโญ TERVERIFIKASI
Rp 9.000.000 โ€“ Rp 11.000.000 per month

PT Kencana Maha is seeking a talented and experienced Data Analyst to join our dynamic team. In this role, you will be responsible for analyzing complex data sets to provide insights that drive business decisions. The ideal candidate will have a strong background in data analysis, excellent problem-solving skills, and the ability to work in a hybrid environment.

We offer a competitive salary package, a collaborative work environment, and opportunities for professional growth. If you are passionate about data and eager to make a significant impact, we invite you to apply.

Join us and be part of a team that values innovation and excellence.

๐Ÿ“‹ Tanggung Jawab Pekerjaan

Tanggung Jawab:

  • Collect, clean, and analyze large data sets to identify trends and patterns.
  • Develop and maintain data models and algorithms.
  • Create data visualizations and reports to communicate insights to stakeholders.
  • Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
  • Ensure data accuracy and integrity through validation and quality checks.
  • Stay updated with the latest data analysis tools and techniques.
  • Participate in data-driven decision-making processes.
  • Provide support and guidance to junior team members.
  • ๐ŸŽ“ Kualifikasi & Syarat

    Kualifikasi:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
  • 2-3 years of experience in data analysis.
  • Proficient in data analysis tools such as SQL, Excel, Tableau, or Power BI.
  • Strong programming skills in Python or R.
  • Excellent problem-solving and critical thinking skills.
  • Ability to work in a hybrid environment.
  • Strong communication and collaboration skills.
  • Familiarity with machine learning and statistical analysis is a plus.
  • ๐Ÿ› ๏ธ Keahlian

    SQLExcelTableauPower BIPythonRMachine LearningStatistical Analysis
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