(Senior) Data and Automation Analyst - Commodity Accounting Exchanges d/f/m
RWE AG
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Details
- Unternehmen
- RWE AG
- Standort
- Essen
- Bereich
- Stadtwerke
- Vertragsart
- Vollzeit
- Unternehmensgröße
- Sehr große Unternehmen (>1.000 MA)
- Aktualisiert
- 19. September 2026
Geschätztes Gehalt (TVöD)
3.566 – 5.484 €
Entgeltgruppe E9b-E11 · brutto/Monat
Schätzung basierend auf TVöD-VKA Entgelttabelle. Das tatsächliche Gehalt hängt von Eingruppierung und Erfahrungsstufe ab.
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Stellenbeschreibung
(Senior) Data and Automation Analyst - Commodity Accounting Exchanges d/f/m
Location(s):
Essen, NW, DE, 45141 Swindon, Wiltshire, GB, SN5 6PB
RWE Supply & Trading GmbH
To start as soon as possible, full time / part time, Secondment (14 months)
Join the Commodity Accounting Exchanges team on a fixed-term basis and help transform our global exchange accounting processes. As the central accounting hub for exchange-related activities across Supply & Trading GmbH (RWEST), the team supports a rapidly growing portfolio of products, exchanges and legal entities worldwide.
You will apply your data analytics and automation expertise as well as your process understanding to analyse exchange-related trading data, automate recurring activities and improve the quality, efficiency and resilience of our accounting processes.
About the role
Take ownership of key exchange accounting processes and drive their continuous improvement through automation, data analytics and process optimisation, increasing accuracy, transparency and efficiency across the end-to-end process landscape.
Analyse trading, margin, P&L and cash flow data to generate actionable insights and support business-critical decisions.
Develop and enhance scalable reporting, analytics and data solutions using SQL, Power Query, Power BI and comparable technologies.
Lead cross-functional initiatives and collaborate with stakeholders across Accounting, Risk, Trading, Clearing and Operations to deliver data-driven and process-focused improvements.
Support the integration of new exchanges, products and business requirements into a scalable and resilient accounting framework.
Translate complex data into meaningful insights and recommendations for management and subject matter experts.
Job requirements and experience
Strong IT or finance background, ideally with exposure to commodity trading, exchange-traded products, clearing or settlement processes.
Proven experience in data analysis, process optimisation and automation within commodity trading, energy markets, financial services or another data-intensive environment.
Confident handling large data sets, using tools such as SQL, advanced Excel, Power Query or Power BI.
Demonstrated ability to independently drive process improvements and translate business requirements into scalable analytical solutions.
Strong communication, ownership and collaboration skills, with fluent business English and the ability to align international, cross-functional stakeholders.
Advantageous, but not essential
Good understanding of exchange-traded products, derivatives, margining and related business workflows.
Experience with Python or another programming language for advanced analytics, automation, data engineering or AI-enabled solutions.
Experience with commodity trading platforms and industry-specific systems such as Endur, SAP S/4HANA or comparable trading and accounting solutions.
Knowledge of accounting, risk management, financial reporting or regulatory requirements within commodity trading and exchange-related businesses.
Good German language skills to support collaboration with local stakeholders and documentation requirements where needed.
RWE is committed to creating a diverse and inclusive environment – we value your passion, your willingness to learn and your desire to thrive. Even if you dont have all the above skills, need flexible working arrangements or other adjustments not yet listed here, wed love to hear from you.
Your benefits
Play a key role in modernising exchange accounting processes within one of Europes leading energy trading organisations.
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