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- Tasks: Maintain high-quality master data and drive process improvements for automated trading.
- Company: Join RWE Supply & Trading, shaping a cleaner energy future.
- Benefits: Gain expertise in master data and enjoy cross-location teamwork.
- Other info: Hands-on exposure to automation and process improvement awaits you.
- Why this job: Make a real impact on trading processes and business performance.
- Qualifications: Collaborative mindset and basic understanding of data structures required.
The predicted salary is between 30000 - 40000 £ per year.
At RWE Supply & Trading, we're shaping a cleaner energy future by enabling fast, data-driven trading decisions. Our Master Data team underpins highly automated trading, risk and back-office processes. This is where you come in. You will join a close-knit team across the UK and Germany, build deep expertise and see your work directly enable accurate trading, settlement and reporting across our core systems.
What we value most is someone who continuously demonstrates courage, thrives to create impact and seeks to build trusting, collaborative relationships.
Responsibilities- Maintain accurate, high-quality master data (e.g., counterparties, contracts) across core systems
- Ensure data integrity to support automated trading, risk and back-office processes
- Investigate and resolve data issues, identifying root causes and preventing recurrence
- Drive process improvements aligned with automation and scalability goals
- Maintain clear documentation and robust controls to ensure stable daily operations
Strong attention to detail combined with a structured and analytical approach to identifying and resolving data or process issues.
Qualifications- Ability to collaborate effectively across teams and functions, including with non-technical stakeholders
- Strong sense of ownership with a track record of following through and delivering reliable outcomes
- Basic understanding of data structures or databases (e.g., SQL, XML) and how data flows across systems
- Willingness to share knowledge and actively support colleagues across team boundaries
- Ability to identify inefficiencies and propose practical improvements to processes and controls
- Experience with tools such as Endur, JIRA, Nexus, Power BI, Python, RPA or UiPath (preferred)
- German language skills
- Project management experience
- Build deep expertise in master data while staying close to the full trade lifecycle
- Own data that directly underpins automated processes and business performance
- Work in a cross-location team across the UK and Germany with strong knowledge sharing
- Gain hands-on exposure to automation and process improvement in core trading systems
Junior) Master Data & Process Analyst in London employer: RWE Supply & Trading
Contact Detail:
RWE Supply & Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior) Master Data & Process Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current employees at RWE Supply & Trading on LinkedIn. Ask them about their experiences and any tips they might have for landing the job. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of data structures and how they relate to trading processes. Be ready to discuss how you can contribute to maintaining high-quality master data and driving process improvements.
✨Tip Number 3
Show off your collaborative spirit! During interviews, highlight examples of how you've worked effectively with non-technical stakeholders or across teams. This will demonstrate that you’re a great fit for their close-knit team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the RWE family.
We think you need these skills to ace Junior) Master Data & Process Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Junior Master Data & Process Analyst. Highlight any experience you have with data management, process improvements, or tools like SQL and JIRA. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you can contribute to our mission of shaping a cleaner energy future. Don’t forget to mention your collaborative spirit and willingness to support your teammates.
Showcase Your Attention to Detail: In this role, accuracy is key! Use your application to demonstrate your strong attention to detail. Whether it’s through examples of past work or specific achievements, we want to know how you ensure data integrity and quality.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at RWE Supply & Trading!
How to prepare for a job interview at RWE Supply & Trading
✨Know Your Data
Familiarise yourself with the basics of data structures and how they flow across systems. Brush up on SQL, XML, or any relevant tools mentioned in the job description. This will show your potential employer that you have a solid foundation and are eager to learn more.
✨Show Your Collaborative Spirit
Prepare examples of how you've effectively collaborated with different teams or stakeholders in the past. Highlight your ability to build trusting relationships and communicate clearly, especially with non-technical colleagues. This is key for a role that values teamwork.
✨Demonstrate Problem-Solving Skills
Think of specific instances where you've identified inefficiencies or resolved data issues. Be ready to discuss your analytical approach and how you drove process improvements. This will showcase your structured thinking and attention to detail.
✨Be Ready to Discuss Automation
Since the role involves automation and scalability, come prepared to talk about any experience you have with tools like Power BI, Python, or RPA. If you don’t have direct experience, express your willingness to learn and share how you’ve approached similar challenges in the past.