At a Glance
- Tasks: Lead a team to unlock market insights and drive decision-making in energy trading.
- Company: Join SSE plc, a leader in the energy sector with a focus on innovation.
- Benefits: Enjoy flexible working options and attractive benefits in a permanent role.
- Other info: Be part of a dynamic team with opportunities for professional growth.
- Why this job: Make a real impact in the energy landscape with your analytics expertise.
- Qualifications: Strong data science experience and leadership skills in analytics.
The predicted salary is between 60000 - 80000 £ per year.
SSE plc is seeking a Senior Analytics Manager to lead the Advanced Analytics & Data team in Glasgow. You will empower the team to unlock the value of SSE’s assets through deep market insights and analytics, responsible for guiding decision-making in trading and the analytics platform.
The ideal candidate should have strong experience in data science, a good grasp of the energy landscape, and the capability to lead teams effectively.
This role offers a permanent, full-time position with flexible working options, and attractive benefits.
Senior Analytics Manager, Energy Markets & AI in Reading employer: SSE PLC
SSE plc is an exceptional employer, offering a dynamic work environment in Glasgow where innovation meets flexibility. With a strong commitment to employee development and a culture that values collaboration and insight-driven decision-making, SSE empowers its team members to thrive in the evolving energy landscape. The company provides attractive benefits and flexible working options, making it an ideal place for those seeking meaningful and rewarding careers in analytics and data science.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Manager, Energy Markets & AI in Reading
✨Get Involved in Data Science Meetups
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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 SSE PLC.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Manager, Energy Markets & AI at SSE PLC, 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 Senior Analytics Manager, Energy Markets & AI in Reading
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 SSE PLC, 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 SSE PLC. 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 SSE PLC
✨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 SSE PLC!
✨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.