Data Analyst & Monitoring Supervisor

Join Erajaya, a leading name in the retail and consumer products industry, as a Data Analyst & Monitoring Supervisor. In this dynamic role, you will oversee critical data analysis and monitoring processes to drive business performance and operational excellence. Based in Jakarta Raya, this is your chance to leverage your expertise in data analytics and monitoring to transform data into actionable insights and optimize business operations.

As a Data Analyst & Monitoring Supervisor at Erajaya, you will be responsible for analyzing complex data sets using advanced tools such as SQL, Python, and Excel. You will also develop and implement monitoring systems to track key performance indicators (KPIs) and ensure data accuracy and reliability. With a competitive salary ranging from Rp 10,000,000 to Rp 15,000,000 per month, this role offers a unique opportunity to grow professionally and contribute to the success of a dynamic and innovative company.

📋 Tanggung Jawab Pekerjaan

• Conduct comprehensive data analysis to identify trends, patterns, and insights that drive business decisions.
• Develop and implement monitoring systems to track KPIs and ensure data accuracy and reliability.
• Utilize advanced data analytics tools such as SQL, Python, and Excel to process and analyze large data sets.
• Create detailed reports and dashboards to visualize data and communicate findings to stakeholders.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Stay updated with the latest industry trends and technologies to enhance data analysis and monitoring processes.
• Provide training and support to team members on data analytics tools and techniques.
• Ensure compliance with data privacy and security regulations to protect sensitive information.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
• Minimum of 3 years of experience in data analysis and monitoring, preferably in the retail or consumer products industry.
• Proficient in data analytics tools such as SQL, Python, and Excel.
• Strong understanding of statistical methods and techniques for data analysis.
• Experience with data visualization tools such as Tableau or Power BI.
• Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Ability to work independently and manage multiple projects simultaneously.
• Knowledge of data privacy and security best practices.

🛠️ Keahlian

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