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Statistical Data Analysis Staff

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Onsite

Statistical Data Analysis Staff

PT Interbat (Sidoarjo)

Statistical Data Analysis Staff

Skills

Data Analysis

2 months ago

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Important information


Contract type:

Permanent

Salary:

IDR 72,000,000 – IDR 84,000,000 / year

Location:

Sidoarjo, Sidoarjo Regency, East Java, Indonesia

Work mode:

Onsite

Published on:

11 August 2026

What they need


PT Interbat is now looking for a Statistical Data Analysis Staff who wants to join our team and grow with us.

Requirements:

  • Bachelor's Degree in Statistics, Mathematics, Industrial Engineering, Pharmacy, or related fields.

  • Understanding of statistical analysis methods and data interpretation.

  • Knowledge of SPC, process capability, process performance, and Six Sigma will be an advantage.

  • Proficient in statistical/data processing software such as Minitab, JMP, SPSS, Microsoft Excel, or similar tools.

  • Strong analytical and problem-solving skills.

  • Detail-oriented, systematic, and able to work with large datasets.

  • Good communication and data presentation skills.

Responsibilities:

  • Collect, process, and analyze data using appropriate statistical methods.

  • Conduct statistical analyses such as ANOVA, multivariate analysis, trend analysis, and Statistical Process Control (SPC).

  • Evaluate process capability and process performance to support production process monitoring.

  • Develop and monitor control charts as part of process and quality control activities.

  • Analyze data to support continuous improvement initiatives and process efficiency.

  • Identify trends, variations, and potential deviations based on statistical analysis results.

  • Prepare analytical reports and present findings in a clear and systematic manner.

  • Collaborate with related departments in data provision and process performance evaluation.

  • Ensure data integrity, accuracy, and consistency throughout the analysis process.

  • Support the implementation of statistical and Six Sigma approaches in data processing and evaluation.

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