Executive, Corporate Strategy

ATLAS Vending; Bandar Baru Bangi; Presencial; MYR 36.000 - 60.000; Jornada completa

Descripción de la vacante

ATLAS Vending is seeking a data analytics professional in Malaysia to develop and prepare daily and monthly operational reports for management review. You will ensure data accuracy, perform routine audits, and support automation for route planning and machine enhancements.

The role requires strong data processing, Excel proficiency, and good communication in English and Malay. Fresh graduates with relevant internship experience are welcome.

Formación

• Bachelor’s degree in Data Analytics, Data Science, Statistics, Finance, Economics, or a related field.
• Open to fresh graduates with relevant internship experience.
• Strong data processing and analytical skills; proficiency in Microsoft Excel is required.
• Knowledge of Power BI and Python will be an added advantage.
• Detail-oriented, responsible, and highly attentive to data accuracy.
• Strong communication and interpersonal skills.
• Proficient in both English and Malay (written and spoken).

Responsabilidades

• Develop and prepare daily and monthly operational reports, including presentations for management review.
• Ensure data accuracy and integrity within the vending operations system.
• Perform routine audits and troubleshooting on operational reports and vending systems.
• Manage assigned projects and timelines, and support automation initiatives for route planning and machine enhancement.
• Collaborate with operations teams and stakeholders to understand data and sales requirements, and conduct monthly data audits and validations.
• Manage and maintain the annual operations planning template for regional teams.
• Perform data analysis to identify trends, patterns, and anomalies, providing actionable insights to support business decision-making.
• Oversee incentive processes, including timelines, calculations, and validations for operational teams.
• Evaluate existing business processes and identify opportunities to improve efficiency and streamline reporting.
• Develop dashboards and tools to monitor and track operational performance.
• Provide support for additional sales operations requirements as needed.

Conocimientos

Data analytics

Excel

Power BI

Python

Attention to detail

Communication

Educación

Bachelor’s degree in data analytics / related field

Herramientas

Python

Power BI

Descripción del empleo

• Develop and prepare daily and monthly operational reports, including presentations for management review.
• Ensure data accuracy and integrity within the vending operations system.
• Perform routine audits and troubleshooting on operational reports and vending systems.
• Manage assigned projects and timelines, and support automation initiatives for route planning and machine enhancement.
• Collaborate with operations teams and stakeholders to understand data and sales requirements, and conduct monthly data audits and validations.
• Manage and maintain the annual operations planning template for regional teams.
• Perform data analysis to identify trends, patterns, and anomalies, providing actionable insights to support business decision-making.
• Oversee incentive processes, including timelines, calculations, and validations for operational teams.
• Evaluate existing business processes and identify opportunities to improve efficiency and streamline reporting.
• Develop dashboards and tools to monitor and track operational performance.
• Provide support for additional sales operations requirements as needed.

Requirements

• Bachelor’s degree in Data Analytics, Data Science, Statistics, Finance, Economics, or a related field.
• Open to fresh graduates with relevant internship experience.
• Strong data processing and analytical skills; proficiency in Microsoft Excel is required.
• Knowledge of Power BI and Python will be an added advantage.
• Detail-oriented, responsible, and highly attentive to data accuracy.
• Strong communication and interpersonal skills.
• Proficient in both English and Malay (written and spoken).