• Utilize Python (specifically Pandas) to clean, transform, and analyze data, automate repetitive tasks, and create custom reports and visualizations.
  
• Analyze and interpret complex datasets, deriving actionable insights to support business decisions.
  
• Write and optimize advanced SQL queries for data extraction, manipulation, and analysis from various sources, including relational databases and cloud-based data storage.
  
• Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions.
  
• Create and maintain dashboards and reports that visualize key metrics and performance indicators.
  
• Identify trends, patterns, and anomalies in data to support business intelligence efforts and provide strategic recommendations.
  
• Ensure data integrity and accuracy by developing and implementing data validation techniques.
  
• Support data migration, transformation, and ETL processes within cloud environments.
  

Requirements

• 3 - 5 years of experience as a Data analyst or equivalent role.
  
• Good experience in Python, with hands-on experience using Pandas for data analysis and manipulation.
  
• Expertise in analytical SQL, including writing complex queries for data extraction, aggregation, and transformation.
  
• Knowledge of cloud platforms, particularly AWS (Amazon Web Services).
  
• Strong analytical thinking, problem-solving, and troubleshooting abilities.
  
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Quicksight , Superset etc.) is a plus.
  
• Excellent communication skills, with the ability to explain complex data insights in a clear and actionable manner.
  
• Detail-oriented with a focus on data quality and accuracy.
  

• Experience working in a cloud-based data analytics environment.
  
• Familiarity with additional cloud services and tools (e.g. Snowflake , Athena).
  
• Experience working in an Agile environment or with data-oriented teams.