Strategic Demand Forecasting Analyst in London

Strategic Demand Forecasting Analyst in London

London Full-Time 25650 - 31350 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop and monitor demand forecasts while collaborating with various teams.
  • Company: Greenergy, a forward-thinking company in the energy sector.
  • Benefits: Competitive salary, professional development, and a vibrant team culture.
  • Other info: Ideal for graduates with internships looking to kickstart their career.
  • Why this job: Join a dynamic team and turn data into impactful strategies.
  • Qualifications: Strong Excel skills and a passion for data science and AI.

The predicted salary is between 25650 - 31350 £ per year.

Greenergy seeks a Demand Analyst to join the Group Optimisation team in London.

You will develop and monitor demand forecasts, collaborating with Commercial, Trading, Supply and Finance to turn data into actionable plans.

Strong Excel and numerical skills are essential, with experience or exposure to data science and AI-driven forecasting.

Graduates with internships are encouraged to apply for this commercially focused role.

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Strategic Demand Forecasting Analyst in London employer: Inver Energy Limited

Greenergy is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and encourage graduates to bring their fresh perspectives to our dynamic team. Join us to be part of a forward-thinking company that values data-driven decision-making and supports your career aspirations in a meaningful way.

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Contact Details:

Inver Energy Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Strategic Demand Forecasting Analyst 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 Inver Energy Limited!

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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 Strategic Demand Forecasting Analyst at Inver Energy Limited.

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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 Inver Energy Limited.

Apply Directly through Our Website

When you find a suitable opening like Strategic Demand Forecasting Analyst at Inver Energy Limited, 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 Strategic Demand Forecasting Analyst in London

Communication Skills
SQL
Problem-Solving Skills
Python
Automation
Attention to Detail
Data Engineering

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 Inver Energy Limited, 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 Inver Energy Limited. 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 Inver Energy Limited

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 Inver Energy Limited!

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.