ETRM & Data Analytics Analyst β€” Endur v25 Upgrade in London

ETRM & Data Analytics Analyst β€” Endur v25 Upgrade in London

London Full-Time 50000 - 60000 Β£ / year (est.) No working from home possible
Axpo Holding AG

At a Glance

  • Tasks: Join a dynamic team to work on the Endur v.25 Global upgrade project.
  • Company: Axpo Holding AG, a leading global commodity trading house in London.
  • Benefits: Permanent position with competitive salary and growth opportunities.
  • Other info: Central London HQ with a collaborative and innovative culture.
  • Why this job: Be part of an exciting upgrade project in a fast-paced environment.
  • Qualifications: 3+ years of ETRM business analysis experience and strong data analytics skills.

The predicted salary is between 50000 - 60000 Β£ per year.

Axpo Holding AG, a global commodity trading house based in London, is looking for a permanent ETRM Business Analyst. This role offers the opportunity to work on the Endur v.25 Global upgrade project, collaborating with a dynamic team.

The ideal candidate will have at least 3 years of ETRM business analysis experience and strong data analytics capabilities. Join us in a fast-paced environment at our Central London HQ.

ETRM & Data Analytics Analyst β€” Endur v25 Upgrade in London employer: Axpo Holding AG

Axpo Holding AG is an exceptional employer, offering a vibrant work culture in the heart of Central London. With a focus on employee growth and development, team members are encouraged to enhance their skills while working on innovative projects like the Endur v.25 Global upgrade. Enjoy competitive benefits and the chance to collaborate with a dynamic team in a fast-paced environment that values creativity and collaboration.

Axpo Holding AG

Contact Details:

Axpo Holding AG Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land ETRM & Data Analytics Analyst β€” Endur v25 Upgrade in London

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Axpo Holding AG!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like ETRM & Data Analytics Analyst β€” Endur v25 Upgrade at Axpo Holding AG.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Axpo Holding AG.

✨Apply Directly through Our Website

When you find a suitable opening like ETRM & Data Analytics Analyst β€” Endur v25 Upgrade at Axpo Holding AG, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace ETRM & Data Analytics Analyst β€” Endur v25 Upgrade in London

ETRM Business Analysis
Data Analytics
Endur v.25 Upgrade
Collaboration
Fast-Paced Environment
Problem-Solving Skills
Attention to Detail

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Axpo Holding AG, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Axpo Holding AG. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Axpo Holding AG

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Axpo Holding AG!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.