Data Analyst (Internship)

Job Description

If you're passionate about uncovering insights from complex datasets and turning business intelligence into compelling narratives, then a Data Analyst internship is the perfect opportunity to kickstart your analytical career. Whether you're exploring the world of data during a summer internship or a recent graduate eager to dive into analytics, this internship can serve as a crucial stepping stone to your success. This opportunity will allow you to immerse yourself in the exciting field of data science, equipping you with the knowledge and skills necessary to excel as a data analyst intern.

Responsibilities

• Data Entry, Cleaning, and Preparation, Engage in entering, cleaning, and preparing data for analysis. Handle tasks such as removing duplicates, addressing missing values, and consistently formatting data to ensure accuracy and readiness for analysis.
• Utilize statistical techniques, data visualization tools, and dashboards to explore data and effectively communicate findings.
• Develop automated processes for large scale data analysis model validation, development, and implementation.
• Create visual representations and craft meaningful narratives to convey data analysis results to stakeholders.
• Apply analytical techniques to derive actionable insights and support data-driven decision-making processes.
• Support data validation, quality checks, and the implementation of data governance practices

Education + Experience

• Persuing Bachelors Degree in Computer Science/ MSC in Computer Science.
• At least 3 months of experience in Python Programming Language.
• Have experience in at least one project in Data Science and Data Analysis.
• Individuals with a strong foundation in statistical analysis, data visualization, and problem-solving.
• Candidates eager to collaborate within teams, learn from experts, and contribute to impactful projects.

Other Benifits

• Internship Completion Certificates.
• Project Completion letter.
• Letter of Recommendations.
• Get a Chance to work on Company live project.
• Work on projects under the mentorship and guidance by developers.