Data Analyst - Retail Performance & Operational Efficiency

Matahari Department Store · 📍 Karawaci, Banten · Diposting 2026-10-03

FULL_TIME⭐ TERVERIFIKASI

Rp 8.000.000 - Rp 15.000.000 per bulan

Join Matahari Department Store, a leading retail brand in Indonesia, as a Data Analyst to drive data-driven decision-making and optimize store performance. In this role, you will collect, manage, and analyze large datasets to uncover actionable insights that enhance operational efficiency and customer experience. Located in Karawaci, Banten, you will be part of a dynamic team working on cutting-edge retail analytics.

As a Data Analyst at Matahari Department Store, you will work closely with cross-functional teams to identify trends, patterns, and opportunities for improvement. You will leverage your expertise in data visualization tools like Tableau and Power BI to create interactive dashboards and reports that communicate insights effectively.

📋 Tanggung Jawab Pekerjaan

Collect, clean, and manage large datasets from various sources including POS systems, CRM, and customer feedback platforms.
Analyze retail performance data to identify trends and patterns that impact sales and customer satisfaction.
Develop and maintain data models and algorithms to forecast sales, inventory, and customer behavior.
Create interactive dashboards and reports using tools like Tableau and Power BI to visualize data insights.
Collaborate with store managers and operational teams to implement data-driven strategies for improving store performance.
Conduct regular data audits and quality checks to ensure the accuracy and reliability of data.
Provide actionable insights and recommendations to support decision-making processes.
Stay updated with the latest industry trends and best practices in retail analytics.

🎓 Kualifikasi & Syarat

Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
2-5 years of experience in retail analytics or a similar role in a data-driven organization.
Proficient in SQL and Excel for data manipulation and analysis.
Experience with data visualization tools such as Tableau, Power BI, or similar.
Strong problem-solving skills and the ability to think critically about data.
Excellent communication and presentation skills to convey insights to non-technical stakeholders.
Certification in data analysis or a related field is a plus.
Familiarity with retail operations and processes is a significant advantage.