data analyst for risk analytics

Ededge nurtures young people's potential and helps them explore technology and other high-growth fields through training, webinars, and learning experiences with industry leaders. The organization provides training in specific fields alongside industry experience, advancing the ed-tech industry.

• Gather, refine, and analyze extensive datasets with the data science team;
• Apply machine learning and data mining methods to derive insights from large datasets;
• Identify Excel interface structures;
• Use Python for Exploratory Data Analysis in business contexts, focusing on risk analytics in banking and finance;
• Develop scientific tests and optimize model performance using no-code databases and data mining technologies;
• Collaborate with a multidisciplinary team to build machine learning pipelines for commerce, finance, and procurement applications;
• Engage with internal stakeholders to understand business data, develop hypotheses, and evaluate strategies using T-tests;
• Address specific challenges and develop innovative solutions using modeling technologies such as bike share systems;
• Apply advanced analytical techniques using Tableau;
• Create reports and presentations explaining data analysis methodologies and findings.

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

• Unpaid internship;
• Remote role within the European Union.