At a Glance
- Tasks: Build and maintain models for marketing analysis using big data.
- Company: Dynamic energy solutions company in Greater London.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Join a forward-thinking team and make an impact in the energy sector.
- Qualifications: Proficient in Python with strong experience in Marketing Mix Modelling.
- Other info: Flexible work environment with a focus on collaboration and innovation.
The predicted salary is between 36000 - 60000 £ per year.
An energy solutions company is seeking an Econometrics Manager for their Data Science team in Greater London. The role involves building and maintaining models for marketing analysis and requires strong hands-on experience in Marketing Mix Modelling and Big Data analysis.
Candidates should be proficient in Python and possess excellent communication skills to present findings clearly. The position offers hybrid working conditions, requiring office presence approximately two days a week.
Econometrics & Marketing Mix Lead employer: Centrica Plc
Contact Detail:
Centrica Plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Econometrics & Marketing Mix Lead
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work in Marketing Mix Modelling and Big Data analysis. This will help you stand out and give potential employers a taste of what you can do.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to econometrics and data science. Make sure you can explain your findings clearly, just like you would in a presentation.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to show your interest in joining our team directly.
We think you need these skills to ace Econometrics & Marketing Mix Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Marketing Mix Modelling and Big Data analysis. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about econometrics and how your background makes you a perfect fit for our Data Science team. Keep it engaging and personal!
Show Off Your Python Skills: Since proficiency in Python is key for this role, make sure to mention any specific projects or experiences where you've used Python for data analysis. We love seeing practical examples of your coding prowess!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Centrica Plc
✨Know Your Models Inside Out
Make sure you’re well-versed in Marketing Mix Modelling and can discuss your previous experiences with it. Be ready to explain how you've built and maintained models, and be prepared to share specific examples of how your work has impacted marketing strategies.
✨Brush Up on Python Skills
Since proficiency in Python is a must, take some time to review key libraries and functions that are relevant to data analysis. You might even want to prepare a small project or example to showcase your coding skills during the interview.
✨Communicate Clearly and Confidently
Excellent communication skills are essential for this role. Practice explaining complex data findings in simple terms, as if you were presenting to someone without a technical background. This will demonstrate your ability to convey insights effectively.
✨Understand the Company’s Energy Solutions
Research the company’s energy solutions and how they utilise data science in their marketing efforts. Showing that you understand their business model and how your role fits into their strategy will set you apart from other candidates.