Data Analyst

 Responsibilities:

• Develop and maintain automated reporting systems to streamline data analysis processes.
• Utilize machine learning techniques to analyze large datasets and generate actionable insights.
• Work with various data sources to extract, clean, and transform data for analysis.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Create and maintain comprehensive documentation for data processes and analysis.
• Present findings and insights to stakeholders through clear and concise reports and visualizations.

Qualifications:

• Bachelors degree in Computer Science, Data Science, Statistics, or a related field.
• Strong proficiency in Python, with experience in report automation and machine learning.
• Expertise in data manipulation and analysis using libraries such as NumPy and pandas.
• Familiarity with data visualization tools is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, with the ability to present complex data insights in an understandable manner.

Key Skills:

• Structured Query Language.
• Microsoft Excel.
• Critical thinking.
• R or Python statistical programming.
• Data visualization.
• Presentation skills.
• Machine learning.

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