Tech Stack
DockerPandasPythonSQLTableau
About the role
- Support the Commercial Department and analyze financial data from Atlas CRM, Back Office, and Jira;
- Run monthly invoicing processes;
- Generate client reports and visualize data to support business decisions;
- Collaborate closely with Sales, Account Management, Billing, Legal, and Integration teams to gather and process key customer data;
- Develop and maintain Python scripts to retrieve and process data from APIs;
- Clean and transform raw data into structured formats;
- Troubleshoot and debug issues related to API requests and data processing;
- Continuously improve the project/application by optimizing performance, enhancing features, and implementing best practices;
- Create and manage Tableau dashboards, filters, and data visualizations to provide insights;
- Ensure data accuracy and system efficiency through cross-team collaboration.
Requirements
- 2+ years of working experience as a Data Engineer;
- Knowledge of Python, with a focus on data processing and automation;
- Experience working with RESTful APIs, JSON and authentication mechanisms;
- Understanding of data structures and usage of Pandas for data manipulation;
- Experience with SQL for querying and analyzing structured data;
- Ability to create and interpret Tableau reports and dashboards;
- Basic understanding of financial concepts and working with financial data;
- Basic experience with Docker is a plus.