Data Analyst Công ty TNHH Thu phí tự động VETC

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-advancements

• Competitive benefits package
• 100% salary on probation period.
• Working time: 8h – 17h30/ 8h30 -17h300 from Monday to Friday.
• Annual performance review
• Team building, YEP

• Educational 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 forward