Energy Management Platform Data Analyst
Düsseldorf, Germany
Applications have closed
Statkraft
Statkraft is Europe’s largest generator of renewable energy. We produce hydropower, wind power and solar power and are a global company in energy market operations.Company Description
Statkraft has been making clean energy possible for over a century. That is what we offer. 125 years of unrivaled expertise in supplying the world with what it needs most. We envision a world that runs entirely on renewable energy. Because in the fight against climate change, we do not see renewable energy as part of the solution – we believe it must be the solution. With us, you will shape a career that is truly forward-facing with many amazing opportunities and offerings to match.
But there is more work to be done – that is why we need you to join!
Job Description
Energy Management department is responsible for energy management of all Statkraft’s own and 3rd party assets and consumers in Europe, delivering production planning and access to physical energy markets. We also deliver weather, hydrology, climate and market analysis across Statkraft.
In the Continental Energy Management Platform team, we develop and improve the systems supporting energy management in continental Europe and UK&Ireland.
Job Description
As a Data Analyst, you will work hands-on with data throughout the Market Access Platform: including customer data, power production data and commercial data.
The Market Access Platform contains hundreds of thousands of time-series related to Statkraft’s asset portfolio and data related to Statkraft’s customers. The data volume has grown ever faster over the last 10 years and there is a strong need to build tools and controls on the data to ensure that all customers receive their data in a timely and accurate fashion; and to run energy management processes effectively.
As a Data Analyst in the Continental Energy Management Platform team, you will:
- Develop an in-depth understanding of the data landscape in the Market Access Platform and the country-specific processes
- Build tools for tracking data completeness and data quality
- Support Product Owners by answering data-driven questions about the state of the platform, such as: identifying patterns in master-data and numerical data and flagging outliers
- Define detailed requirements related to dataflows for business process implementation
- Improve our operational quality level through development of error detection and monitoring as well as ensuring that the products run seamlessly at all times
- Collect usage data on the analysis platform to support users in finding accurate data
- Support the team’s KPI and benchmarking calculations through scripting and automation
- Work in an agile environment within a strong team of Product owners
Qualifications
- University degree in engineering, natural sciences or business
- Hands-on experience in Data Analysis or Data Engineering
- Experience in Python data analytics (pandas, numpty) is a plus
- Very strong problem-solving mentality and attention to detail
- Strong communication and presentation skills
- Capable of summarizing and explaining data issues and possible solutions to the relevant stakeholders
- Prior work with data monitoring is a plus
Additional Information
What we offer
- Unlimited learning opportunities at various levels of the organisation.
- The chance to grow your career alongside a truly global network of experts, leaders, specialists and graduates from different countries and backgrounds.
- The opportunity to work somewhere with pride, and to be able to honestly say “My work is contributing to saving the planet”.
- A work culture that puts emphasis on the individual, offering flexible working solutions, and work-life balance principles.
- A focus on fun outside of work, supported by various activity groups such as soccer, toga, sailing, climbing, boxing, cabin rentals, and much more.
- Statkraft offers competitive terms of employment and benefits schemes, and we’re a trusted employer that puts the safety of our people first. We believe that a safe and healthy working environment is a matter of choice, not chance.
Tags: Agile Data analysis Data Analytics Data quality Engineering Pandas Python
Perks/benefits: Career development Flex hours
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