Data yst ysis Trainee Entry Level

Overview

Key responsibilities

• Extract clean and analyze data from various sources.
• Assist in the development of data models and databases.
• Perform statistical analysis to identify trends and patterns.
• Generate reports and visualize data using charts and graphs.
• Support datadriven decisionmaking processes.
• Collaborate with crossfunctional teams to understand data needs and provide insights.
• Conduct research to identify industry trends and best practices.
• Assist in the implementation of data quality and data protection processes.
• Use SQL for data extraction and manipulation.
• Identify and troubleshoot datarelated issues.
• Present findings and recommendations to stakeholders.
• Contribute to the development and improvement of data analysis methodologies.
• Assist in creating and maintaining documentation for data analysis processes.
• Participate in training to enhance data analysis skills.
• Stay updated on the latest data analysis tools and techniques.

Required qualifications

• Bachelors degree in Computer Science Statistics Mathematics Economics or related field.
• Strong analytical and problemsolving skills.
• Proficiency in SQL for data manipulation and extraction.
• Knowledge of statistical methods and tools.
• Experience with data visualization tools such as Excel Tableau or Power BI.
• Ability to work with large datasets and databases.
• Excellent communication and presentation skills.
• Time management and organizational skills.
• Attention to detail and accuracy.
• Ability to work independently and in a team environment.
• Familiarity with programming languages such as Python or R is a plus.
• Understanding of data quality and data protection principles.
• Willingness to learn and adapt to new technologies and methodologies.
• Ability to manage multiple priorities and meet deadlines.
• Knowledge of data mining techniques and tools.

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