At a Glance
- Tasks: Transform complex data into insights that drive business decisions and growth.
- Company: ENGIE, a leader in sustainable energy solutions.
- Benefits: Competitive salary, flexible work arrangements, and clear career development pathways.
- Other info: Join a diverse team committed to inclusivity and professional growth.
- Why this job: Make a real impact on the energy transition while developing your analytical skills.
- Qualifications: Experience in analytics, strong Power BI skills, and a problem-solving mindset.
The predicted salary is between 40500 - 49500 £ per year.
At ENGIE, we are accelerating the energy transition to build a more sustainable future.
Behind every strategic decision is data that drives clarity and action.
We are looking for a Management Information Analyst to turn complex data into powerful insights that shape how we operate and grow.
In this role, you will design and deliver dashboards and MI models that inform business decisions across multiple teams.
Your analytical expertise will directly support our mission by enabling smarter, faster, and more impactful choices every day.
What You'll Do- Develop and maintain interactive MI models, reports, and dashboards using Power BI and similar tools.- Build new dashboards and reporting solutions in response to evolving business needs.- Provide analytical support to Business Development, Operations, and Finance teams.- Ensure data integrity across systems by designing audits and communicating corrective actions.- Produce regulatory reporting accurately and within required deadlines.- Deliver ad-hoc analysis to support strategic and operational decision-making.- Collaborate with internal stakeholders to translate data into actionable business insight.
What You Bring- Previous experience in an analytical or Management Information role.- Strong dashboard development skills using Power BI Desktop or equivalent reporting tools.- Knowledge of relational databases and SQL.- Advanced proficiency in Microsoft Office, including VBA.- Excellent communication skills with the ability to explain technical topics to diverse audiences.- A practical, problem-solving mindset with strong attention to detail.- Degree-level qualification or equivalent, with GCSE Maths and English at Grade C or above.
Location Leeds Working arrangement: Full Time - Hybrid What We Offer- A competitive salary package reflecting your experience and expertise.- Diverse missions across analytics, reporting, and cross-functional collaboration.- Stimulating work that directly influences business strategy and performance.- A friendly, supportive work environment where teamwork and autonomy are valued equally.- Flexibility to maintain a healthy work-life balance.- Clear career development pathways with opportunities to grow your technical and leadership skills.
Our Commitment At ENGIE, every talent has a role to play in accelerating the energy transition.
Make a difference and enjoy a fulfilling professional experience.
Take on exciting challenges and build a career path that reflects who you are.
Join us and be part of the adventure of the century!ENGIE is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
We evaluate qualified applicants without regard to race, gender, age, disability, sexual orientation, religion, or any other protected characteristic.
If you require any reasonable accommodations during the recruitment process, please let us know.
We are happy to support you in presenting your best self throughout the application journey.
Management Information Analyst in Maidstone employer: Engie
ENGIE is an exceptional employer, offering a competitive salary and clear career progression within the renewable energy sector at our Gorst Energy AD Facility in Exeter. Our supportive team culture fosters collaboration and knowledge-sharing, while our commitment to employee wellbeing ensures a healthy work-life balance. With access to professional development and training programmes, you will have the opportunity to grow your skills and contribute meaningfully to the UK's net-zero ambitions.
StudySmarter Expert Advice🤫
We think this is how you could land Management Information Analyst in Maidstone
✨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 Engie!
✨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 Management Information Analyst at Engie.
✨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 Engie.
✨Apply Directly through Our Website
When you find a suitable opening like Management Information Analyst at Engie, 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 Management Information Analyst in Maidstone
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 Engie, 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 Engie. 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 Engie
✨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 Engie!
✨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.
