Data Analyst Intern

Company Description

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Ededge is a ground-breaking organization dedicated to nurturing the potential of our youth and empowering them to explore the vast world of technology and other high-growth fields. We have conducted numerous inspiring webinars that have reached an audience exceeding 100 individuals. Our upcoming initiatives will provide invaluable learning experiences by allowing audiences to gain insights from accomplished leaders, who will share not only their successes but also their journeys through failure. Despite our accomplishments, we remain dedicated to continuous growth, as our ultimate goal is to advance collectively as an organization and as a community. We elevate the industry of Ed-Tech by brining in the trainings in the specific fields along with the industry experience.

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Description

This is a remote internship role for a Data Analyst Internship And Training Program. The role will involve day-to-day tasks related to data analytics, including data management, data analysis, data modeling, and developing analytical skills. The intern will have the opportunity to work on real-world data projects and gain practical experience in the field of data analytics.

Resposibilities

• Work closely with our esteemed data science team to gather, refine, and analyze extensive datasets, refining skills in data preprocessing and visualization.
• Apply machine learning and data mining methods to derive insights from large datasets, including identifying Excel interface structures.
• Utilize Python programming for Exploratory Data Analysis (EDA) in practical business contexts, with a focus on risk analytics in banking and finance.
• Develop scientific tests and optimize model performance using cutting-edge modeling technologies such as no-code databases and data mining.
• Collaborate with a multidisciplinary team to construct machine learning pipelines for various applications in commerce, finance, and procurement.
• Engage with internal stakeholders to explore and comprehend business data, develop hypotheses, and evaluate strategies using techniques like T-tests.
• Address specific challenges and devise innovative solutions by leveraging modeling technologies such as bike share systems.
• Acquire and apply advanced analytical techniques using tools like Tableau.
• Create reports and presentations to effectively convey data analysis methodologies and findings.

Qualifications

• Strong problem-solving and critical thinking abilities
• Currently pursuing any degree showcasing a strong commitment to continuous learning and professional growth.
• Excellent communication and teamwork skills
• Ability to work independently and remotely

Note

This is an