Data Analyst
5 months ago
**Salary **:Competitive (Negotiable)
**Working locations**:Ho Chi Minh city (Vietnam) office - district 7
**Working Hour **:Monday - Sat
- **Responsibilities**:_
**- Data Collection and Processing**:
- Collect, clean, and preprocess large volumes of structured and unstructured data from various sources, including user interactions, learning activities, and system logs.
- Develop and maintain efficient data pipelines and workflows to ensure data quality, integrity, and accessibility.
**- Data Analysis and Visualization**:
- Perform exploratory data analysis to identify trends, patterns, and correlations within the data.
- Utilize statistical techniques and machine learning algorithms to extract actionable insights and predictive models.
- Create clear and compelling data visualizations, dashboards, and reports to communicate findings and recommendations to stakeholders.
**- Business Intelligence and Decision Support**:
- Collaborate with cross-functional teams, including product development, marketing, and customer success, to understand business requirements and translate them into analytical solutions.
- Provide analytical support and guidance to inform strategic decision-making processes, such as product enhancements, user engagement initiatives, and marketing campaigns.
**- Performance Monitoring and Optimization**:
- Monitor key performance indicators (KPIs) and metrics related to product usage, user engagement, and educational outcomes.
- Identify opportunities for optimization and continuous improvement based on data-driven insights and feedback loops.
**- Data Governance and Compliance**:
- Ensure compliance with data privacy regulations and best practices, such as GDPR and COPPA, in the collection, storage, and usage of sensitive information.
- Implement data governance frameworks and policies to maintain data security, confidentiality, and integrity.
- **Requirements**:_
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
- Proven experience (3 years) as a Data Analyst or similar role, preferably in the education or technology sector.
- Proficiency in data manipulation and analysis using programming languages such as Python or R.
- Experience with SQL databases, data warehousing, and data visualization tools (e.g., Tableau, Power BI).
- Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Excellent communication and collaboration skills, with the ability to effectively present findings to both technical and non-technical audiences.
- Familiarity with machine learning algorithms and techniques is a plus.
- Passion for education and a commitment to improving learning outcomes through data-driven approaches.
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