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Geospatial Data Analyst: Map-Powered Insights

Remote / Online - Candidates ideally in
Jawa Barat, Indonesia
Listing for: Pt. Astro
Remote/Work from Home position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineering, Data Mining
Salary/Wage Range or Industry Benchmark: 66960000 - 133920000 IDR Monthly IDR 66960000.00 133920000.00 MONTH
Job Description & How to Apply Below
  • What Geospatial Data Analyst Map Powered Insig...

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Geospatial Data Analyst Map Powered Insights jobs in Jakarta Selatan

About the Role

Our client is seeking a sharp and analytical Junior Data Analyst to join their growing team in Depok, West Java, . This hybrid role offers the best of both worlds, allowing for collaboration in the office and focused work from home. You will play a crucial role in transforming raw data into actionable insights that drive business decisions. This is a fantastic opportunity for individuals with a strong quantitative background and a passion for uncovering trends and patterns.

You will work closely with various departments, supporting them with data-driven recommendations. The company values innovation and provides a structured environment for career development in the data science field.

Key Responsibilities
  • Collect, clean, and preprocess data from various sources to ensure accuracy and reliability.
  • Perform data analysis using statistical methods to identify trends, patterns, and correlations.
  • Develop and maintain reports, dashboards, and visualizations to communicate findings effectively to stakeholders.
  • Assist in the creation of data models and predictive analytics projects.
  • Collaborate with cross-functional teams to understand their data needs and provide analytical support.
  • Contribute to the improvement of data collection and analysis methodologies.
  • Present data insights and recommendations clearly and concisely.
Requirements
  • Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
  • Proficiency in data analysis tools and languages such as SQL, Python (Pandas, Num Py), or R.
  • Experience with data visualization tools like
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