LG Electronics Development Vietnam (LGEDV) 4.5 ★

Strategic Analysis & Insight Generation
Analysis and Insights: Conduct in-depth analysis, develop hypotheses, and provide insights that drive business strategies
Data Visualization: Utilize advanced data visualization techniques to create charts and graphs that effectively communicate these insights
Decision Support: Actively contribute to daily decision-making processes by delivering actionable insights to the CEO and BOM, enhancing their understanding of key business metrics and trends
Dashboard & BI Development
BI Development: Lead the creation of a self-service BI system that includes dashboards and exploratory reports, utilizing various BI tools to meet business needs
Dashboard Development: Additionally, responsible for developing and maintaining hundreds of real-time data monitoring dashboards for business operations, ensuring broad accessibility and visibility
Data Management & Integration
Data modeling: Define and manage schemas for business-focused data objects & Implement advanced data modeling techniques to enhance data accessibility and utility for strategic analysis and decision-making
Data flows: Develop and maintain robust ELT pipelines and processes to ensure the smooth ingress and integration of data from multiple sources
Data Warehouse: Oversee the management of the data warehouse, ensuring its optimal performance and alignment with business requirements
Leadership & Team Collaboration
Leadership: Lead a small team of DA - Data Analysts, fostering an environment of collaboration and continuous improvement. Work closely with the Business, Tech & Data Engineering teams to enhance data-driven decision-making processes
Collaboration: Serve as a critical bridge between all the stakeholders ensuring clear communication and alignment on business objectives and technological capabilities
Trend Analysis
Continuously follow global Data Analytical methodologies and toolsets to drive strategic decisions within the organization, ensuring that our business stays ahead of Market-shifts and Technological-advancementsEducational Background: Master's degree preferred in Data Science, Computer Science, Mathematics, Statistics, or a related field. A Bachelor's degree in these fields is also acceptable
Professional Experience: At least 5 years working in DA role with proven leadership experience, ideally within eCommerce or Tech-startups
Technical Proficiency: Expertise in SQL and BI tools, along with a strong understanding of data modeling, data warehousing, and real-time data monitoring. Familiarity with cloud technologies and DevOps practices is essential
Analytical Skills: Superior ability to analyze complex datasets and utilize advanced data visualization techniques to derive actionable insights
Communication Skills: Exceptional verbal and written communication skills, adept at presenting complex data insights clearly and influencing strategic decisions
Leadership Skills: Demonstrated ability in leading data teams, promoting collaboration, and driving continuous improvement in a dynamic environment
Innovative Thinking: Ability to keep pace with industry trends in data analytics methodologies and tools, applying this knowledge to drive the business forwardCompetitive benefits package
100% salary on probation period.
Working time: 8h - 17h30/ 8h30 -17h300 from Monday to Friday.
Annual performance review
Team building, YEP