Data Analyst - Gree Electric Appliances Indonesia

Join Gree Electric Appliances Indonesia as a Data Analyst and become a key driver of data-driven decision-making in one of the leading appliance manufacturers in the region. This is your opportunity to contribute to a dynamic team that values happiness, success, and innovation. Located in the bustling city of Jakarta Utara, you will work closely with cross-functional teams to transform raw data into actionable insights that drive business growth.

As a Data Analyst at Gree, you will leverage your expertise in data analysis tools such as SQL, Python, and Tableau to extract meaningful patterns and trends from large datasets. Your daily tasks will include data cleaning, visualization, and reporting, providing stakeholders with clear and concise information to support strategic decisions.

Gree Electric Appliances Indonesia is committed to fostering a culture of continuous learning and development. With a competitive salary package and a range of benefits, this role offers a unique opportunity to grow your career in a fast-paced and innovative environment.

📋 Tanggung Jawab Pekerjaan

• Collect, clean, and analyze large datasets to identify trends and patterns.
• Develop and maintain data visualization dashboards using tools like Tableau and Power BI.
• Create and deliver regular reports and presentations to stakeholders.
• Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
• Utilize SQL and Python for data extraction, transformation, and loading (ETL) processes.
• Implement data quality checks and ensure data integrity.
• Stay updated with the latest industry trends and technologies in data analysis.
• Participate in the development of data strategies and initiatives.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
• 2-5 years of experience in data analysis, with a strong background in SQL and Python.
• Proficiency in data visualization tools such as Tableau, Power BI, or similar.
• Experience with data warehousing concepts and ETL processes.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Ability to work in a fast-paced, dynamic environment.
• Fluency in English is a plus.

🛠️ Keahlian

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