Head Of Data Management ( Data Analyst ) Tại Hà Nội

Job Overview
As the Head of Data Management, you will be a key architect of our data ecosystem, overseeing the end-to-end process of data collection, transformation, organization, and visualization. This critical role requires a seasoned professional with exceptional expertise in data management, analytics, and strategic decision-making. The ideal candidate will lead initiatives to monitor system and business processes, optimize costs, increase revenue, predict trends, and uncover business opportunities
Key Responsibilities
1. Data Strategy and Architecture:
Develop and implement a robust data strategy aligned with business objectives.
Oversee the design and maintenance of data storage systems, including SQL Server and Azure Blob Storage.
2. Data Collection and Transformation:
Establish efficient processes for collecting and transforming raw data into actionable insights.
Ensure data quality and integrity throughout the entire data lifecycle.
3. Data Organization and Accessibility:
Implement organizational structures and frameworks for effective data storage and retrieval.
Facilitate seamless access to critical business data for relevant stakeholders.
4. Data Visualization and Exploration:
Lead the creation of visually compelling and insightful data visualizations.
Enable stakeholders to explore and understand data trends through intuitive dashboards and reports.
5. Monitoring and Issue Resolution:
Implement systems for real-time monitoring of system and business process health.
Proactively identify and address data-related issues to minimize impact on operations.
6. Cost Optimization and Revenue Enhancement:
Collaborate with finance and operations teams to identify opportunities for cost optimization.
Work closely with sales and marketing teams to develop data-driven strategies for revenue growth.
7. Trend Prediction and Opportunity Suggestion:
Utilize advanced analytics and machine learning to predict business trends.
Provide strategic recommendations based on data analysis, identifying opportunities for business development.