Data Analyst

Key Qualifications

• SQL Expertise: Proficiency in managing, querying, and optimizing databases (e.g., MySQL, PostgreSQL, SQL Server).
• Python Expertise: Scripting & Automation: Knowledge of Python to automate repetitive tasks, perform data extraction, and support daily operational needs.
• Error Handling & Debugging: Strong skills in identifying bugs, troubleshooting Python scripts, and ensuring the robustness of code in production.
• Working with customers or internal stakeholders to resolve technical issues or customer integrations
• Customer file monitoring & integration
• Knock system management for integrations
• Big data management & validation. Work with big data issues (validation, correctness, management).
• Troubleshoot and approach technical issues systematically.

Requirements

• At least 2 years of experience as a Support Engineer or in a similar tech support role
• In-depth knowledge of MS SQL and Excel, Python knowledge is a must
• B.Sc. degree in Industrial Engineering or Computer Science is a plus
• Familiarity with Docker & Kubernetes
• Customer-Focused Mindset: Empathy and patience in dealing with support requests.
• Experience working in a start-up is an advantage
• High proficiency in English (spoken and written) required
• Retail experience is a plus
• Willingness to work weekends and shifts
• Familiarity with supply chain systems is a significant advantage
• Experience with big data technologies and cloud platforms is a plus
• Strong analytical and technical skills with a "can-do" attitude
• Ability to work independently and in a self-learning environment

Core Stack:

• SQL
• Python
• Docker containers / Kubernetes
• Cloud (Amazon Web Services)
• Databases & workflow processes
• Open-source technologies