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IT - Data Analyst

  • Full Time, onsite
  • PT. New Priok Container Terminal One (NPCT1)
  • Jakarta Raya, Indonesia
Salary undisclosed

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Company Description

PT. New Priok Container Terminal One (NPCT1) is a state-of-the-art port facility located in Jakarta, Indonesia. Since commencing operations in August 2016, NPCT1 has been enhancing Jakarta's port infrastructure to ensure reliable connectivity within Indonesia and strengthen the country's logistics competitiveness. With a handling capacity of 1.5 million TEUs and advanced equipment, NPCT1 aims to provide world-class port services in Tanjung Priok, Jakarta.

Role Description

This is role : IT - Data Analyst at NPCT1, located in Jakarta, Indonesia.

As a IT - Data Analyst, you will be responsible for analyzing and interpreting complex data sets, creating data models, and communicating insights to stakeholders. Not limited on that, you will be also involved in designing and implementing innovative algorithms to gather, process, and analyze large datasets. This role will require on-site presence at the port facility in Jakarta.

Requirements:

  • Bachelor or Master degree in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years experiences as IT - Data Analyst.
  • Strong hands on experience with data analysis and visualization tools such as ETL, OLAP, PowerBI, SQL, R, Python, and data statistical tools.
  • Good knowledge in Business Intelligence and skills in using BI tools, machine learning algorithms, and statistical analysis.
  • Familiar in Data Warehousing (concepts and tools).
  • Strong analytical skills with ability to collect, organize, analyze large amount of data/information
  • Ability to present complex data insights in a clear and actionable manner to non-technical stakeholders.
  • Strong communication and able collaborate with cross-functional teams in a global and multicultural environment.

Key Responsibilities:

  • Collect and interpret data from various sources, including databases, spreadsheets, and external sources, and analyze data to identify trends, patterns, and anomalies.
  • Create and maintain reports, dashboards, and visualizations to present data in an easily understandable format.
  • Develop and implement data collection systems and procedure that optimize statistical efficiency and data quality.
  • Provide technical expertise in data storage structures, data mining, and data cleansing
  • Develop and implement predictive models and machine learning algorithms/techniques.