data analyst

3 days ago

Ho Chi Minh City, Ho Chi Minh, Vietnam MATCHUPFAST Full time $45,000 - $60,000 per year

POSITION: DATA ANALYST

JOB DESCRIPTION

  • Analyze large datasets to identify trends, patterns, and correlations that provide insights into business performance.
  • Perform statistical analysis and generate reports to support data-driven decision-making.
  • Create clear and compelling data visualizations using tools such as Tableau, Power BI, or similar to communicate findings to stakeholders.
  • Develop dashboards and interactive reports that provide real-time insights.
  • Generate regular reports and present findings to business stakeholders, ensuring clarity and relevance to business objectives.
  • Document analytical processes and methodologies to ensure reproducibility and consistency.
  • Work closely with data scientists, AI engineers, and business stakeholders to understand data needs and provide technical support.
  • Facilitate effective communication and collaboration between the AI and data teams and other departments.
  • Ensure the accuracy, integrity, and consistency of data by performing regular data validation and cleansing.
  • Develop and implement data management processes to support high-quality data analytics.
  • Identify areas for improvement in data analysis processes and methodologies.
  • Stay updated with the latest industry trends and technologies related to data analytics and visualization.

JOB REQUIREMENTS

  • Bachelor's degree in Data Science, Computer Science, Business Management, or relevant majors.
  • Minimum of 5 years of experience as Data analyst or similar roles.
  • Proven experience in analyzing large datasets and generating actionable insights.
  • Strong background in using data visualization tools (Tableau, Power BI).
  • Proficiency in data analysis and statistical tools (Excel, Google Sheet, Python).
  • Strong knowledge of databases and SQL for data querying and manipulation.
  • Excellent analytical and problem-solving skills with attention to detail.
  • Strong communication skills, both verbal and written, with the ability to convey complex data insights to non-technical stakeholders.
  • Understanding of data engineering and MLOps methodologies.
  • Awareness of security best practices in data environments.
  • Experience working with organizations that have a large customer base, such as banks and e-commerce companies.
  • Experience in accounting and price analysis is an advantage.
  • PROFICIENT IN ENGLISH.

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