Data Analyst

Place City Sentosa · 📍 Magelang, Jawa Tengah · Diposting 2026-10-12
FULL_TIME⭐ TERVERIFIKASI
Rp 3.000.000 – Rp 4.000.000 per month
Place City Sentosa is seeking a talented Data Analyst to join our team. We are a growing company in Magelang, Jawa Tengah, and we are looking for someone who is passionate about data and wants to make a difference. As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting large sets of data to help us make informed business decisions. If you have a strong background in data analysis and are looking for a challenging and rewarding role, we encourage you to apply.

📋 Tanggung Jawab Pekerjaan

Collecting and analyzing large sets of data to identify trends and patterns,Creating reports and dashboards to visualize data and communicate insights to stakeholders,Developing and implementing data models and algorithms to improve business processes,Collaborating with cross-functional teams to understand business needs and provide data-driven solutions,Identifying and resolving data quality issues to ensure the accuracy and reliability of our data,Staying up-to-date with the latest data analysis tools and techniques to continuously improve our data analysis capabilities,Providing data analysis support to other teams as needed,Assisting in the development of data-driven strategies and initiatives

🎓 Kualifikasi & Syarat

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field,2-4 years of experience in data analysis or a related field,Strong knowledge of data analysis tools and techniques, including SQL, Excel, and data visualization tools like Tableau or Power BI,Experience with statistical analysis and modeling,Strong problem-solving and analytical skills,Excellent communication and presentation skills,Ability to work independently and as part of a team,Proficiency in English (both written and spoken)

🛠️ Keahlian

SQLExcelData visualization tools (TableauPower BI)Statistical analysis and modelingProgramming languages (PythonR)Data mining and machine learningData quality and governanceBusiness intelligence and analytics
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