Commercial Data Analyst - Strategic Insights & Business Growth

Gandasari Group Investama · 📍 Jakarta Selatan, Jakarta Raya · Diposting 2026-10-03

FULL_TIME⭐ TERVERIFIKASI

Rp 6000000 - Rp 7000000 per bulan

Join Gandasari Group Investama as a Commercial Data Analyst and transform raw data into actionable business insights that drive strategic decision-making. In this dynamic role, you will collaborate with cross-functional teams to analyze market trends, customer behavior, and sales performance. Based in Jakarta Selatan, you'll leverage your expertise in data analysis tools like Power BI, Tableau, and SQL to create comprehensive reports and dashboards that support business growth.

At Gandasari Group Investama, we are committed to innovation and excellence. This role offers a unique opportunity to work in a fast-paced environment where your insights will directly impact business strategies. With a focus on data-driven decision-making, you'll play a crucial role in helping the company achieve its strategic goals. If you're passionate about data and eager to make a difference, we invite you to join our team and be part of our journey towards success.

📋 Tanggung Jawab Pekerjaan

Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
Develop and maintain data models and algorithms to support business processes.
Create interactive dashboards and reports using tools like Power BI, Tableau, and Excel.
Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
Provide regular data analysis reports and presentations to stakeholders.
Optimize data collection processes to ensure accuracy and efficiency.
Stay updated with the latest data analysis techniques and tools.
Contribute to the development of data-driven strategies that support business growth.

🎓 Kualifikasi & Syarat

Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
2-4 years of experience in data analysis, preferably in a commercial or business environment.
Proficiency in data analysis tools such as Power BI, Tableau, and SQL.
Strong understanding of statistical methods and data visualization techniques.
Excellent problem-solving skills and attention to detail.
Ability to work independently and as part of a team.
Strong communication skills to present findings to stakeholders.
Familiarity with business intelligence and data warehousing concepts.