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DATA AND TECHNICAL ADMINISTRATION (FULLTIME JAKARTA)

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Onsite

DATA AND TECHNICAL ADMINISTRATION (FULLTIME JAKARTA)

Hexxa Academy Kediri

DATA AND TECHNICAL ADMINISTRATION (FULLTIME JAKARTA)

Skills

SQL QueriesPythonData ScienceData VisualizationRData AnalysisMachine LearningCompliance

17 days ago

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Important information


Contract type:

Permanent

Location:

Jakarta, Indonesia

Work mode:

Onsite

Published on:

9 October 2026

What they need


Data and Technical Administration (Fulltime Jakarta)

General Requirements

Minimum Bachelor (S1) with major of Statistics, Mathematics, Computer Science/Informatics, Data Science, Information Systems, or Engineering (priority of state universities / PTN)

Minimum 1 years of experience in Data Science, Data Analytics, or Machine Learning

Competencies:

Proficiency in Python and/or R for data analysis and modeling

Strong knowledge of SQL and database querying

Familiarity with Machine Learning frameworks

Experience with data visualization tools

Solid understanding of statistics, probability, and hypothesis testing

Strong analytical thinking and comfortable working with large, complex datasets

Good communication skill to translate technical findings into business insights

Attention to detail and well organized

Fast learner with excellent time management and ability to work independently

Willing to be in contract minimum 1 year

Job Description:

Collect, clean, and preprocess structured and unstructured data from various sourcesBuild, validate, and deploy predictive/machine learning models to support business decision-making

Perform exploratory data analysis to identify trends, patterns, and business opportunities

Create dashboards and reports to communicate insights to stakeholders and management

Collaborate with Engineering, Product, and Business teams to translate business problems into data-driven solutions

Monitor and maintain model performance in production, retraining when necessary

Ensure data quality, integrity, and compliance with company data governance policies

Document methodologies, models, and findings for internal knowledge sharing

Other tasks as assigned

Please send your CV to: http://bit.ly/3Tapa0d

Work Location: In person

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