Data Analyst

PT Matahari Department Store Tbk; Tangerang; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A retail company in Depok, West Java, is hiring a Data Analyst to drive analytics and BI initiatives. You will lead analytics projects, design A/B tests, and optimize dashboards using tools like Power BI and SQL. The ideal candidate has 3-5 years of experience in data analytics, strong communication skills, and is proficient in data visualization. This role offers a chance to work closely with senior leadership and influence business strategy.

Qualifications

• 3–5 years of experience in data analytics, BI, or data science.
• Hands-on experience in A/B testing, econometrics, and statistical modeling.
• Ability to translate data into business language.

Responsibilities

• Lead end-to-end analytics initiatives including data collection and visualization.
• Design A/B tests and statistical models to evaluate business impact.
• Present insights and recommendations to senior leadership.

Skills

Power BI

SQL

MS Excel

Data Analytics

Communication Skills

Education

Bachelor’s or Master’s degree in Statistics, Economics, Computer Science

Tools

Tableau

Python

BigQuery

Job description

Job Overview

We are hiring a Data Analyst to take ownership of analytics, experimentation, and BI initiatives at Matahari in Depok, West Java, Indonesia.

Responsibilities

• Lead end-to-end analytics initiatives: data collection, transformation, analysis, and visualization.
• Design A/B tests, statistical models, and causal analysis to evaluate business impact.
• Build, maintain, and optimize dashboards, reports, and pipelines using Power BI, Excel, SQL, and Tableau.
• Partner with cross-functional teams (Product, Marketing, Ops, Finance) to identify opportunities and influence strategy.
• Present insights and recommendations directly to senior leadership.

Qualifications

• Bachelor’s or Master’s degree in Statistics, Economics, Computer Science, or related field.
• 3–5 years of experience in data analytics, BI, or data science.
• Strong skills in Power BI, SQL, and MS Excel; familiarity with Python, Tableau, and cloud data warehouses (BigQuery).
• Hands‑on experience in A/B testing, econometrics, and statistical modeling.
• Strong communication skills and ability to translate data into business language.