Workforce Management & Data Reporting - Operations (Yogyakarta)
Shopee
Daerah Istimewa Yogyakarta
On-site
IDR 100.000.000 - 200.000.000
Full time
Job summary
A leading e-commerce platform in Indonesia is seeking a Data Analyst to enhance operational efficiency through data analysis and reporting. The ideal candidate will have a Bachelor's degree and at least one year's experience, particularly in workforce management. Responsibilities include analyzing data for optimal resource coverage and developing reporting dashboards using tools like Excel and SQL.
Qualifications
- Minimum 1 year of working experience in related field.
- Experience in WFM such as forecasting and scheduling is an advantage.
- Good with numbers and data interpretation.
Responsibilities
- Analyze data to create and adjust CS schedules.
- Forecast manpower planning within the CS Team.
- Provide ad hoc data analysis and reporting.
Skills
Data analysis
Forecasting
Scheduling
Data reporting
Communication skills
Education
Bachelor's Degree in any major
Tools
Excel
SQL
Google Sheets
Looker
Responsibilities
- Analyze data from BI and Marketing to create, monitor, and adjust CS (L1 & L2) schedules, ensuring optimal daily resource coverage
- Forecast manpower planning within the CS Team (based on forecast projection from BI), in order to ensure adequate daily resource coverage
- Create, compile, and report, all KPI/CSAT/best performance, and scorecard achievements in Operations from Sales Force
- Ensure timely, accurate and consistent delivery of daily, weekly and monthly reports to stakeholders
- Develop, automate, and maintain reporting dashboard and tools using platforms such as Google Sheets, SQL, Data Suite, Looker and other relevant system
- Provide ad hoc data analysis and reporting to address urgent operational needs and enable informed decision making
Requirements
- Min. Bachelor\'s Degree in any major
- Min. 1 years of working experience in related field (experiencing in WFM such as forecasting, scheduling and data reporting would be an advantage)
- Good with numbers and data interpretation
- Able to use a statistical approach on data storytelling
- Excellent verbal and written communication skills to communicate with agents, supervisors and other stakeholders
- Clear and concise communication to provide real-time feedback, guidance, and instructions to agents and supervisors
- Able to provide and develop reporting or dashboards from scratch
- Familiar using Excel and SQL