Job
Description
Role & responsibilities 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. Preferred Qualifications: 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.
