We are looking for an Intern Data Analyst to join our team. You will analyze datasets,
extract insights, and support data-driven decision-making. This is an excellent opportunity to apply your
analytical skills, work with real-world data, and grow in a collaborative and supportive environment.
Responsibilities:
• Collect, clean, and preprocess data from diverse sources to ensure accuracy and consistency.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and actionable insights.
• Write, optimize, and troubleshoot SQL queries to retrieve and manipulate data efficiently.
• Design and create intuitive dashboards and reports to visualize data effectively.
• Validate data regularly to maintain integrity and reliability.
• Collaborate with team members to define data requirements and deliver meaningful solutions.
• Work with cross-functional teams to support ongoing business and data projects.
Requirements:
• Knowledge of Python for data analysis (e.g., Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn).
• Knowledge of SQL for querying.
• Familiarity with data visualization tools like Power BI and Metabase.
• Understanding of statistical concepts and their application in data analysis.
• Ability to present insights effectively through visualizations and storytelling.
• Strong analytical thinking, problem-solving skills, and attention to detail.
Nice to Have:
• Experience working with databases such as PostgreSQL and MongoDB.
• Hands-on experience with Jupyter Notebooks or Google Colab.
• Exposure to version control tools like Git.
Benefits:
• Collaborative and supportive work environment.
• Opportunity to work on impactful real-world datasets and projects.
• Hands-on experience with industry-standard tools and techniques.
• Flexible working hours to support work-life balance.
• Team recognition and occasional surprise rewards
Internship Duration: 3 Months
(Employment opportunities are available after the internship)
Salary: Negotiable
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