Data Analyst (Level Middle Good English Com)

Proficiency in data analysis tools and programming languages such as SQL, Python, R, Excel, Tableau, Power BI, etc.
Experience in data mining, data cleaning, and data transformation techniques.
Knowledge of statistical analysis methods, predictive modeling, and machine learning.
Familiarity with database management systems and data warehousing concepts.
Understanding of data visualization best practices.
Good english communication
Analytical and Problem-Solving Skills:
Ability to ask the right questions and define the problem statement.
Strong critical thinking and problem-solving skills to derive insights from data.
Creativity in designing and implementing data analysis solutions.
Attention to detail and accuracy in data analysis.
Communication and Collaboration Skills:
Excellent written and verbal communication skills to present findings to technical and non-technical stakeholders.
Ability to translate complex data into actionable insights and recommendations.
Teamwork and collaboration skills to work effectively with cross-functional teams.
Business acumen to understand the context and implications of the data analysis.
Other Requirements:
Familiarity with industry-specific tools, software, and data sources.
Experience in a particular domain or industry (e.g., finance, healthcare, retail).
Strong project management and time management skills.
Continuous learning and willingness to stay up-to-date with emerging data analysis trends and technologies.