Data Analyst - Engineering

Description

The Data Analyst supports the product development function to ensure that data preparation and analysis are performed timely and cost-effective manner. You will work in a multinational and cross-functional organization with a strong learning culture and contribute to the development of sustainable global energy solutions that help reduce the carbon footprint_._ Do you want to make a difference with your work? Join our team now!

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What INNIO offers you:**

• Young & supportive team - in a fast-growing international business environment
• Learn & develop yourself - help you craft your career path with (INNIO learning, free language courses according to business needs)
• Hybrid working - 50% Office, 50 % Home Office with flexible working hours
• Cafeteria package with various options - SZÉP Card, Cash option, Nursery & kindergarten support
• Medicover Spring White Package- from the first day of employment
• Easily accessible location - in the heart of the most vibrant campus area in Budapest (location: 13rd District, easy to approach by Metro Line 3)
• Take a break - Recharge your batteries with free coffee and tea selection in the kitchen area
• Live an active lifestyle – activate your AYCM pass

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In this role you will be responsible for:
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• Support the product development function with data preparation and analysis
• Support the software development and data scientists’ team
• Create and extend data export jobs to stream data from a cloud-based IoT platform to data sinks in MS Azure
• Perform data preparation and analysis timely and in a cost-effective manner
• Collaborate with Product Owners to design, develop, maintain and manage advanced dashboards
• Contribute to the development of sustainable global energy solutions that help reduce the carbon footprint

Your profile:

• Bachelor´s Degree and experience regarding software development and related processes
• Fluency in English (both written and spoken)
• Proven knowledge in developing ETL jobs in Python or Java
• Experience with Databases and query languages (relational and/or NoSQL)
• Project management skills and the ability to self-organization
• Occasional travel (maximum 15% of working time) to collaborate and train with headquarters team or work on regulatory topics with external partners