At a Glance
- Tasks: Analyse data and configure energy management software to help customers save costs.
- Company: Join TEAM Energy, an employee-owned company focused on energy management solutions.
- Benefits: Enjoy hybrid working, flexible holidays, profit sharing, and a relaxed dress code.
- Other info: Collaborative culture with opportunities for continued learning and development.
- Why this job: Make a real impact in the energy sector while growing your career in a supportive environment.
- Qualifications: Degree level education and at least 1 year of data analysis experience required.
TEAM Energy is seeking a Delivery Analyst to join our Service Delivery team in Milton Keynes.
Salary: £24,454 - £30,000
Hours of Work: 37 hours per week - Hybrid - 2 office days per week
Contract Type: Permanent
As a Delivery Analyst, you will be responsible for the Sigma Energy Management software configuration and data quality for all customers. You will need to identify and investigate anomalies, escalating them to the customer where possible cost savings could be made in their energy costs. You will work to strict SLAs to deliver reports to customers on a monthly basis, so the ability to interpret information is vital.
We are looking for someone with at least 1 year’s experience in a data analysis and reporting role and who is familiar with working to SLA goals and KPI objectives. You will be able to demonstrate a passion for working with data with a high attention to detail, problem solving and customer service in equal measure and be educated to degree level. You will have intermediate to advanced level MS Excel skills and will thrive in interpreting numeric information as well as learning new tools.
Delivery Analyst Key Responsibilities:
- Dealing directly with customer queries
- Configuring and designing reports to meet customer requirements
- Maintaining data integrity
- Analysing data, making recommendations to the customer to meet their objectives
Delivery Analyst Benefits:
- Employee ownership profit share
- Hybrid working (mix of office and home based)
- Flexible holidays
- Contributory pension (salary sacrifice)
- Medical cash plan
- Wellbeing Programme
- Life assurance
- Cycle to work salary sacrifice scheme
- Electric Vehicle salary sacrifice scheme
- Free on-site parking
- On-site kitchenette and chill-out areas with free fruit, tea, coffee and cordial
- Company funded events and team building
- Relaxed dress code
- Continued learning and development through internal and external training
About the Company:
TEAM Energy are a company specialising in energy management software and services. We are well placed to become a leading software and service provider in our related sectors of energy retail and energy management. In 2019 we moved into employee ownership, meaning that all our employees share in the success of our business through a profit share scheme. Our vision is to help all our customers contribute to the delivery of the UK’s net zero objectives by delivering products and services that enable successful and optimal carbon and energy management. Our aim is to be recognised as the leading software company in the energy sector and so we are looking for smart people to help us achieve that – intelligent, outgoing, pragmatic, and hard-working individuals.
If you think you are suitable for this Delivery Analyst role, please apply now.
Locations
Delivery Analyst - Energy Industry in Loughton, Milton Keynes employer: TEAM Energy
TEAM Energy is an exceptional employer located in Milton Keynes, offering a unique employee ownership model that empowers you to be a co-owner and actively shape the company's future. With a strong focus on collaboration, professional growth, and a supportive work culture, you will enjoy benefits such as hybrid working, flexible holidays, and a comprehensive wellbeing programme, all while contributing to meaningful projects in the energy sector. Join us to make a difference in achieving the UK's net zero objectives while enjoying a fulfilling career with ample opportunities for development.
StudySmarter Expert Advice🤫
We think this is how you could land Delivery Analyst - Energy Industry in Loughton, Milton Keynes
✨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 TEAM Energy!
✨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 Delivery Analyst - Energy Industry at TEAM Energy.
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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 TEAM Energy.
✨Apply Directly through Our Website
When you find a suitable opening like Delivery Analyst - Energy Industry at TEAM Energy, 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 Delivery Analyst - Energy Industry in Loughton, Milton Keynes
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 TEAM Energy, 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 TEAM Energy. 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 TEAM Energy
✨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 TEAM Energy!
✨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.
