Intern in Data Analytics (100%)

Climeworks; Opfikon; Vor Ort; CHF 120.000 - 170.000; Vollzeit

Zusammenfassung

Climeworks is seeking a data-driven professional to help operate the world’s largest Direct Air Capture plants. You will build data products from real-time plant and business operations to scale the technology.

You will develop Python scripts for sensor and ERP data, write SQL queries, and create dashboards that enable data-driven decisions to maximize carbon removal. You’ll collaborate across engineering, finance, and data teams to translate requirements into scalable analytics.

Aufgaben

• Define how to operate largest Direct Air Capture plants efficiently.
• Build data products deriving insights from real-time plant and business operations.
• Develop and maintain Python scripts for processing sensor data and ERP data.
• Write SQL queries to support database management and data transformation for reporting.
• Build user-facing dashboards to maximize carbon removal and drive actions.

Jobbeschreibung

• Operations Development: You will play an important role in defining how to operate the largest Direct Air Capture plants in the world in the most efficient way. You will build data products that derive insights from real time plant and business operations – all part of making Climeworks technology more scalable.

• Data Analytics: You will develop and maintain Python scripts for processing sensor data from our production plants and business process data from our ERP system. You will also write SQL queries to support database management and transform data for reporting. Your role will be responsible for building user-facing dashboards that enable Climeworks to maximize our carbon removal.

• Collaboration with Business Partners: You will work closely with colleagues in Production Engineering or Business Finance (depending on background). Your role will be to understand their engineering requirements for plant operation (or financial excellence) and translate them into data analytics that deliver insights and drive actions.

• Collaboration with Data Engineering: You will collaborate with the data engineering team (seeking advise and code reviews) to deploy your data pipelines to our data platform. You will learn how to write code in a production environment and how to build scalable solutions.

• Communication & Presentation: You will communicate results, findings, and observations clearly and concisely to peers, and present them in technical reviews. You will serve as a collaborator and advisor on data projects aimed at process optimization and operational development, and contribute to strategic initiatives to scale DAC technology.