Lowongan GA Analyst di PT Nusantara Sejahtera Raya

Responsibilities :

• Maintaining and optimizing systems and processes based on the data obtained
• Making Root Cause Data Analysis and taking action to improve and improve business processes
• Compile General Affairs provisions or policies and carry out implementation and evaluation
• Coordinate with related work units (stakeholders) in compiling a policy or provision
• Reviewing and analyzing data to obtain information on the results of the policies that have been made
• Mitigating business processes and work procedures that can hinder operations
• Supervising and implementing analysis data to support the preparation of provisions and procedures related to business and supporting
• Create metrics and assessment parameters to evaluate performance results
• Perform processing, analysis, visualization, and interpretation of data
• Participate in the development of quality inspection standards and continue to optimize processes and systems
• Work closely with the operational team and be able to create control instruments for monitoring work

Requirements :

• Minimum 2 years experience as Data Analyst/ Business Analyst/ Data Scientist
• Having ability to operate Data Analysis Packages, Database and Visualization Tools (Example: Python, VBA, SQL, Tableu, Power BI, Looker Studio) 
• Have experience in Master Data Management, Data Standardization, ETL (Extract Transform Load), Data Profiling, Data Cleaning, and Business Intelligence Reporting
• Able to work together in a team, detail oriented, willing to learn, and able to work also independently 
• Have high motivation, be independent, able to work without supervision, able to make good decisions and control attitudes
• Have the ability to make Standard Operating Procedures, provisions or policies, and BPM (Business Process Management)
• Able to manage tasks well as well as being able to determine priorities in work 
• Proficient in using Microsoft Excel 
• Able to coordinate and communicate well to all stakeholders in planning, developing, and implementing projects
• Able to apply analytical, statistical, and operational knowledge to interpret data and make decisions
• Able to make repairs, increase performance, business processes, efficiency and productivity based on data