Energy Trader Data Analyst
1 month ago
At Vis Commodities, we're looking for a highly motivated and detail-oriented Energy Trader Data Analyst to join our team in Aarhus. As a key member of our data-driven trading startup, you will play a crucial role in analyzing and interpreting complex data sets to inform our trading decisions.
About Us
We're a dynamic startup specializing in algorithmic trading in the energy sector. Our goal is to move green energy efficiently between European grids, aligning with our net-zero ambitions. We prioritize innovation, sustainability, and creating a collaborative work environment that values each team member's contribution.
What We Offer
- Growth and Learning: We support your professional development, encouraging you to try new things and apply what you've learned in your studies.
- Collaborative Culture: We foster an environment of equality and open-mindedness, where every idea is valued.
- Positive Work Environment: We prioritize creating a space where employees enjoy coming to work, complete with regular social events to build camaraderie.
- Technological Excellence: Our tech stack includes various Microsoft Azure services, with Python as our main language due to our data and machine learning focus.
Job Description
As an Energy Trader Data Analyst at Vis Commodities, you will engage in a variety of tasks and responsibilities, providing a diverse and dynamic work experience. You will:
- Analyze large datasets to uncover insights and visualize findings.
- Create interactive web applications using Dash and Streamlit.
- Develop models based on insights to inform trading decisions.
- Utilize Python and other tools to tackle data-related tasks.
- Adapt to a range of challenges typical in a startup environment, contributing to multiple aspects of our operations.
Required Skills and Qualifications
- Educational Background: Degree in Computer Science, Software Engineering, or a related technical field.
- Open-Mindedness: Willingness to tackle tasks of any size with pride and dedication.
- Continuous Learner: Eagerness to try new things and learn on the job.
- Practical Application: Desire to apply academic knowledge to real-world challenges.
- Soft Skills Development: Strong emphasis on improving communication skills.
- Preferred experience: Experience with Azure, Databricks, Machine Learning, MLOps, and Webapps is beneficial but not required.
Salary
The estimated annual salary for this position is around €60,000 - €80,000, depending on experience and qualifications.
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