We are looking for a detail-oriented Data Analyst to join our team. The ideal candidate will work with large datasets, identify patterns, and implement processes to enhance data quality and reliability.

Key Responsibilities:

• Analyze large datasets from multiple sensors to detect noise and inconsistencies
• Use statistical methods and visualization tools to identify data anomalies
• Recognize noise patterns and improve data quality control processes
• Develop automated mechanisms to reduce manual data cleaning
• Generate reports and visualizations on data quality and noise detection performance
• Work with APIs and client environments to gather and analyze data
• Present insights and recommendations to support data-driven decisions
  
  

• Proficiency in Excel for data analysis and visualization
• Experience with Python (pandas, numpy, Matplotlib)
• Ability to query large databases using SQL (joins, subqueries)
• Familiarity with statistical analysis and research methodologies
• Commitment to minimum 12 hours per week
  
  

• Strong analytical and problem-solving abilities
• Ability to work independently and manage time effectively
• Clear communication skills to convey technical findings to non-technical audiences
• Fluent in English
• General knowledge of geography concepts is a plus