We are seeking a highly skilled Data Analyst with a strong background in Python coding. If you are passionate about data validation, anomaly detection, and automation tests, and have experience with analytical libraries like Pandas or similar, we want to hear from you!

Key Responsibilities:

• Develop and maintain Python automation scripts for data validation, anomaly detection, and analysis.
• Utilize Python libraries such as Pandas or similar to analyze data and identify anomalies.
• Implement, integrate, and maintain data validation tests using pytest to ensure data integrity and accuracy.
• Collaborate with cross-functional teams to understand their needs and deliver actionable insights.
• Continuously improve data quality and implement best practices in data management.
  
  

Requirements:

Must Have:

• Bachelor’s degree in Computer Science, Math, or a related field.
• 2 years hands-on experience in Python, with experience in libraries such as Pandas or similar.
• Strong analytical and problem-solving skills.
• Excellent communication skills and the ability to work collaboratively in a team environment.
• Attention to detail and a commitment to data accuracy and quality.
• English – fluent, both written and spoken.
  
  

Great if You Have:

• Experience in using SQL (BigQuery / GCP experience is a plus).
• Experience in data visualization and reporting tools (e.g., Tableau).