(Senior) Controlling Data Scientist & Analyst m/f/t

Essen, NW, DE, 45141

 

RWE Supply & Trading GmbH
To start as soon as possible, full time / part time, permanent

Your future plans 
We are building a centralised Controlling function with dedicated resources to focus on transforming RWE Supply & Trading GmbH (RWEST) Controlling to an innovative, data-driven function to enable informed decision making. Our goal is to support the growth of RWE Supply & Trading GmbH by making our Controlling future proof. You can contribute to that continuous transformation by helping us to create well-structured data fundaments, in order to build meaningful use cases and to further improve data-driven decision making. This role requires a great skill mix of data science, data analytics consulting and change management experience.

 

  • Business Analysis: Collaborate with the various Controlling teams and other functions (e.g. Accounting, Risk and IT) to gather business requirements, define analytical objectives and drive respective initiatives
  • Process analysis and solution finding: Analyse existing Controlling processes and identify improvement potentials with regards to data structuring, interfaces and level of automation and find adequate solutions
  • Development: Develop and implement data use cases that drive business value, always ensuring data quality and consistency
  • Reporting and Visualisation: Develop interactive dashboards, reports, and visualisations using BI tools such as Tableau, Power BI or similar platforms to communicate key financial metrics and trends effectively
  • Change management: Act as a strong advocate and change agent for data-driven mindset and self-service analytics across the entire organisation
  • Continuous Improvement: Stay abreast of emerging trends in data analytics, financial technology and industry best practices to continuously improve analytical methodologies and tools

 

Your powerful skills

  • Bachelor's or Master’s degree in data science, statistics, computer science or a related field
  • Proven experience in data analysis and data visualisation, ideally within Controlling related areas
  • Strong knowledge of data analytics and visualization tools (Tableau, PowerBI, SAP Analytics Cloud, Azure, Python)
  • Proficiency in SQL and VBA
  • Ability to translate business needs into data analysis projects
  • Excellent communication skills and a data-driven mindset, with the ability to explain complex data concepts to non-technical users
  • Strong problem-solving skills with the ability to turn data into actionable insights
  • Attention to detail and a commitment to data accuracy and security
  • Ability to work independently and collaboratively in a fast-paced, dynamic environment
  • Fluent English skills and the ability to communicate complex matters clearly

Advantageous, but not a must 

  • Experience in the Energy (Trading) Business
  • Familiarity with financial systems and ERP software (SAP S/4HANA currently in implementation)
  • Experience in change management or consulting, with a proven track record of driving organisational change
  • Experience with machine learning algorithms and techniques for predictive analytics

 

What we value most is passion, willingness to learn and a determined and resilient work ethic. So, even if you think you do not yet display all of the skills above we would still like to hear from you.

 

Further we welcome applications from individuals who may not be able to commit to full-time roles. At RWEST, finding the right person for the job is our top priority, and we are willing to explore flexible arrangements.

 

Benefits you can rely on
We really appreciate you going the extra mile and using every ounce of energy when the heat is on. That’s why we want to make your time with us as enjoyable as possible. At RWE Supply & Trading GmbH we value our employees and strive to create a supportive and inclusive work environment. With a range of competitive benefits, we not only offer excellent development prospects and an attractive remuneration package, but also take care of your well-being and understand that life-work integration is essential.

 

Also our offer includes the following perks:

  • Work at the commercial heart of RWE – right on one of Europe’s largest trading floors directly shaping the energy transition
  • Freedom for creative ideas and personal development in an ambitious new team
  • Task oriented and hybrid working model
  • Join a diverse and multicultural team in a highly dynamic and rapidly growing business
  • State-of-the-art campus with free fitness center, child care, on-site barista & restaurants

 

     
rwe.com/career
Apply now with just a few clicks: ad code 86233
Any questions? Pia König (Recruiting), +49 152 09448320
We look forward to meeting you!

 

We value diversity and therefore welcome all applications, irrespective of gender, disability, nationality, ethnic and social background, religion and beliefs, age or sexual orientation and identity. #inclusionmatters
Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.

 

RWE Supply & Trading is the interface between RWE and the energy markets around the world. Around 2,000 employees from over 70 different countries trade electricity, gas, commodities and CO2 emission allowances. The trading entity also ensures the commercial optimisation of RWE’s power plant dispatch and markets electricity from RWE.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Azure Computer Science Consulting Data analysis Data Analytics Data quality Machine Learning Power BI Python Security SQL Statistics Tableau

Perks/benefits: Career development Competitive pay Flex hours Startup environment

Region: Europe
Country: Germany
Job stats:  21  4  1

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.