Business Intelligence Analyst, MeLive

Data Analysis & Reporting:
Analyze large datasets from various sources
Create, maintain, and automate dashboards, reports, and visualizations to track Network performance and metrics relevant to e- commerce and social commerce activities.

BI Tools & Systems:

Design, develop, and maintain BI solutions using tools such as Tableau, Power BI, Google Data Studio, or similar platforms.
Collaborate with the Technology Department to ensure seamless data integration and accessibility across the organization.

Market & platforms Insights:

Monitor and analyze the performance of e- commerce/social commerce campaigns and provide actionable insights for improvement..
Provide data- driven insights to guide campaign optimization and strategic decision- making.
Conduct competitive analysis and benchmarking to understand market trends, users behavior, and industry shifts.

Business Systems Optimization:

Collaborate with cross- functional teams to identify and resolve system bottlenecks, streamline workflows, and improve data flow between systems.
Lead initiatives to enhance the scalability and flexibility of business systems, ensuring they meet the evolving needs of the organization.
Implement and manage automated reporting systems to monitor the health of business processes and systems.
Evaluate and optimize existing business systems and processes to enhance operational efficiency, reduce costs, and improve overall performance.

Strategic Planning:

Identify opportunities for process improvements and efficiencies within the BI function and across the organization.
Stay up- to- date with industry trends, emerging technologies, and best practices in BI and data analytics.
Work with Network leaders to define and track performance goals, providing data- driven insights to support strategic planning and growth initiatives.

3+ years of experience in business intelligence, data analysis, or a related role within an e- commerce, social commerce, or digital marketing environment.
Experience in evaluating and optimizing business systems and processes.
Solid understanding of data processing workflows, ETL concepts, and data pipeline management.
Strong analytical and problem- solving skills with a keen attention to detail.
Familiarity with Python for data analysis is a plus.
Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
Experience with data warehousing concepts and technologies is a plus.
Proficiency in BI tools.
Understanding of e- commerce and social commerce metrics, customer segmentation, and digital marketing analytics

Full Benefits Package: Including Social Insurance (BHXH), Health Insurance (BHYT), participation in the labor union, annual leave, and bonuses according to company policy.
Work Environment: high potential for career growth and flexible work arrangements
Additional Benefits: Birthday celebrations, regular health check- ups, wedding gifts, sickness benefits, maternity leave; Bonuses On holidays, New Year, and company events.
Salary: Competitive salary and benefits package.

Cập nhật gần nhất lúc: 2025-09-09 21:55:03