Công Ty TNHH Giải Pháp Công Nghệ Aletech
  • Kinh nghiệm: Từ 5 - 6 năm
  • Chức vụ: Nhân viên
  • Yêu cầu bằng cấp: Cao đẳng
  • Số lượng cần tuyển: 1
  • Yêu cầu giới tính: Nam, Nữ
  • Độ tuổi: từ 25 - 35 tuổi
  • Hình thức làm việc: Toàn thời gian
MÔ TẢ CÔNG VIỆC

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.
QUYỀN LỢI ĐƯỢC HƯỞNG
  • Good salary and bonus.
  • Annual training, Active and challenging environment.
  • 13th-month salary.
  • Annual bonus as the company's performance.
  • Social Insurance, Health insurance, Unemployment insurance.
  • Company trip, Team-building, Year-End Party.
  • Other policies prescribed by law.
YÊU CẦU CÔNG VIỆC

Qualifications

1. Educational Background

  • Bachelor's or Master’s degree in Computer Science, Data Science, or a related field.

2. Experience

  • Minimum of 5 years of experience in data management, analytics, and visualization.
  • Proven track record of successfully implementing data strategies in a business setting.

3. Technical Skills

  • Proficiency in data analysis tools such as Python.
  • Proficiency in SQL Server, Azure Blob Storage, and other relevant data storage technologies.
  • Strong expertise in data visualization tools (e.g., Tableau, Power BI).

4. Statistical Modeling and Machine Learning

  • Strong background in statistical modeling and machine learning techniques.
  • Ability to apply advanced analytics to solve complex business problems.

6. Language Proficiency

  • Exceptional English language skills, both written and verbal.
  • Ability to communicate complex technical concepts to non-technical stakeholders.

7. Leadership and Collaboration

  • Demonstrated leadership and team management skills.
  • Effective collaboration with cross-functional teams and excellent interpersonal skills.

8. Analytical Thinking

  • Strong analytical and problem-solving skills, with meticulous attention to detail.
  • Ability to translate complex data into actionable insights.

9. Innovation and Continuous Learning

  • Commitment to staying updated on industry trends and emerging technologies.
  • Proven ability to drive innovation in data management practices.
LIÊN HỆ

Hà Nội

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