Data Analyst

Pt Lautan Luas Tbk; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading data analytics firm in Jakarta seeks a Data Analyst to support data collection and perform exploratory data analysis. The ideal candidate will have a Bachelor’s degree and 1-3 years of experience in Data Analytics or Data Science. Responsibilities include developing dashboards using BI tools like Tableau and Power BI, and performing A/B testing to inform business strategies. This position offers a dynamic work environment focused on actionable insights.

Qualifications

• 1–3 years of experience in Data Analytics, Data Science, or Business Intelligence.
• Knowledge in statistics & probability, EDA, A/B Testing & Experimentation.

Responsibilities

• Support data collection and suggest improvements for analysis needs.
• Perform Exploratory Data Analysis (EDA) to identify patterns, trends, and anomalies.
• Develop dashboards and reports using BI tools to communicate key metrics.

Skills

Data Analysis

Data Visualization

Python

A/B Testing

Statistical Methods

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics

Tools

Tableau

Power BI

Looker

Job description

Responsibilities

Support data collection and suggest improvements for analysis needs. Perform Exploratory Data Analysis (EDA) to identify patterns, trends, and anomalies, translating findings into actionable business insights. Develop dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker) to communicate key metrics to stakeholders. Design, execute, and analyze A/B tests using proper statistical methods to evaluate business strategies. Carry out tasks assigned by supervisors to support Corporate IT/IS and company objectives.

Requirements

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related fields. 1–3 years of experience in Data Analytics, Data Science, or Business Intelligence. Knowledge in statistics & probability, EDA, A/B Testing & Experimentation, Python, and Data Visualization or Business Intelligence tools (Tableau, Power BI, Looker)