Data Analytics Supervisor

The Company: Our Client is a leading lifestyle company in Southeast Asia. This company is a leader in the lifestyle industry in Southeast Asia, with a diverse ecosystem of nightlife, F&B, luxury retail, wellness, and digital products. They are committed to providing the finest services and delivering amazing experiences to their customers. The company fosters an inclusive and supportive work environment where employees are encouraged to grow and develop. This is an exciting opportunity to join a dynamic team and contribute to their ongoing success.

Responsibilities:

• Design and implement comprehensive data strategies to collect, manage, and analyze data from multiple sources, ensuring data integrity and usability.
• Develop, maintain, and enhance forecasting models to predict trends, performance, and outcomes, utilizing advanced statistical, analytical, and computational techniques.
• Create and manage interactive dashboards and reports to visualize data insights, facilitating data-driven decision-making across the organization.
• Collaborate with cross-functional teams to identify analytical requirements, and provide support in data analysis and reporting.
• Ensure the accuracy and consistency of data through rigorous quality control and validation processes.
• Stay abreast of industry trends and advancements in data analytics, adopting new technologies and methodologies to enhance analytical capabilities.
• Train and mentor team members on data analytics tools and best practices, fostering a culture of continuous improvement and learning.

Qualifications:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
• 4+ years of experience in a data analytics role, with a track record of driving data-driven insights and outcomes.
• Strong analytical mindset with the ability to build and organize data from multiple sources.
• Proven experience in data processing and developing forecasting models.
• Proficient in creating and managing dashboards.
• Expertise in PowerBI, SQL, Python, and advanced Excel skills are mandatory.
• Excellent communication and collaboration skills, with the ability to work effectively across teams.