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As a Data Analyst Trainee, you will work alongside experienced data analysts and assist in transforming data into actionable insights. You’ll gain hands-on experience with data collection, cleaning, analysis, and reporting. The role offers a great opportunity to enhance your analytical skills while contributing to real business outcomes.

Responsibilities:

• Assist in collecting, cleaning, and preprocessing data from various sources.
• Perform data analysis to identify trends, patterns, and correlations.
• Create and maintain dashboards and reports for stakeholders.
• Develop and implement basic data models and statistical analysis techniques.
• Support the team in conducting exploratory data analysis (EDA).
• Assist in visualizing data through graphs and charts to communicate insights effectively.
• Collaborate with other team members to identify key performance indicators (KPIs) and business metrics.
• Help document data processes and maintain data quality standards.
• Learn and apply best practices for data analysis and reporting.
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Requirements

Requirements:

• Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Basic knowledge of data analysis tools and languages (e.g., Excel, SQL, Python, or R).
• Strong analytical mindset and attention to detail.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• A passion for learning and developing new analytical skills.
• Ability to work independently and collaborate effectively in a remote environment.
• Strong communication skills and ability to present data insights in a clear and concise manner.
• Time management skills and the ability to meet deadlines.
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Preferred Skills (optional but advantageous):

• Basic knowledge of statistical analysis and hypothesis testing.
• Experience with data wrangling and cleaning techniques.
• Understanding of data storage systems, such as relational databases.
• Familiarity with machine learning concepts or algorithms is a bonus.