- Collect data from various sources, ensuring its accuracy and integrity
- Perform basic cleaning and preprocessing of data to prepare it for analysis
- Conduct analysis to identify trends and insights using standard statistical methods
- Assist in the development of predictive models under guidance
- Create basic reports and visualizations to communicate findings effectively
- Assist in developing dashboards using business intelligence tools
- Work collaboratively with team members on data-related projects
- Provide support to senior analysts in complex data analysis tasks
- Good understanding of statistical analysis techniques
- Experience with statistical software (e.g., R, SAS) or scripting languages (e.g., Python, SQL)
- Proficient in using data visualization tools (e.g., Tableau, Power BI)
Ability to present data findings in a clear, understandable manner
- Familiarity with SQL for data querying
- Basic understanding of database principles
- Basic coding skills in Python or R for data analysis
- Familiarity with data analysis libraries (e.g., Pandas, NumPy) is beneficial
- Strong analytical thinking and problem-solving skills
- Good communication skills for reporting findings and collaborating with team members
- Educational Background: Bachelor’s degree in Statistics, Computer Science, Information Technology, or a related field
- Professional Experience: 2-4 years of experience in data analysis or a related field Interested candidates are requested to submit CV to e-mail with subject “Middle data analyst”
