Task information:

• Analyze data to identify trends, validate hypotheses, and deliver actionable insights to stakeholders.
• Troubleshoot data queries and ensure data quality and integrity.
• Develop, maintain, and optimize automated reporting scripts and resolve issues in automation workflows.
• Assist in ETL processes, contributing to data extraction, transformation, and loading tasks.
• Support the development and upkeep of data pipelines.
• Analyze credit risk and assist in the development and validation of risk models to ensure accuracy and reliability. 

Requirements:

• Proven experience as a Data Analyst.
• Strong Python (or R), SQL, and Excel skills.
• Data visualization experience.
• Analytical, detail-oriented, and problem-solving abilities.
• Team player with effective communication skills.

Bonus Skills:

• Financial services industry background.
• Knowledge of credit risk modeling and regulatory requirements.
• Degree in Statistics, Mathematics, Data Science, or related field.

Company offers:

• Private health insurance.
• Flexible hybrid work environment.
• Access to vast, diverse datasets.
• Professional growth in a collaborative environment.

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Confidentiality guaranteed. Only selected candidates will be informed.