Details

Responsibilities:

• Analyze and interpret large datasets to uncover trends, patterns, and insights.
• Develop and maintain efficient data pipelines for seamless data collection and processing.
• Create and present data visualizations to clearly communicate findings to stakeholders.
• Build and apply statistical models to forecast outcomes and guide business decisions.
• Collaborate with cross-functional teams to identify and solve data-centric challenges.
• Keep updated on the latest tools and techniques in data analysis.

Requirements:

• Strong analytical and problem-solving skills.
• Proficiency in Python and popular data analysis libraries (e.g., NumPy, Pandas, Matplotlib).
• Experience with SQL and relational databases.
• Familiarity with cloud platforms like AWS or Azure.
• Excellent communication and presentation abilities.
• Ability to work both independently and collaboratively.

Eligibility:

• Open to recent graduates from all engineering, business, and arts disciplines.
• No prior experience required.