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- Tasks: Develop econometric models and analyse data to evaluate marketing effectiveness.
- Company: Leading energy company with a focus on innovation and sustainability.
- Benefits: Hybrid working, flexible rewards package, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the energy sector.
- Qualifications: Experience in Big Data analysis, econometrics, and strong Python skills.
- Other info: Collaborative environment with a focus on data-driven decision making.
The predicted salary is between 43200 - 72000 £ per year.
A prominent energy company is seeking an Econometrics Manager to join their Data Science team in Greater London. The role involves developing and refining econometric models, analyzing data to evaluate marketing effectiveness, and presenting actionable insights to stakeholders.
Candidates should have a background in Big Data analysis, econometrics, and strong Python skills. This position offers hybrid working, with flexibility built into the total rewards package.
Marketing Mix & Econometrics Lead in London employer: Centrica Plc
Contact Detail:
Centrica Plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Mix & Econometrics Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in the energy sector or those already working at the company. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your econometric models and data analysis projects. This will give you a chance to demonstrate your expertise beyond just words.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to econometrics and marketing effectiveness. We can help you with mock interviews to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talent that fits our culture and values.
We think you need these skills to ace Marketing Mix & Econometrics Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in econometrics 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 this role and how your background in Python and data analysis makes you the perfect fit for our team.
Showcase Your Analytical Skills: In your application, include examples of how you've used econometric models to drive marketing effectiveness. We love seeing real-world applications of your skills, so don’t hold back!
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 this exciting opportunity with our Data Science team!
How to prepare for a job interview at Centrica Plc
✨Know Your Econometrics Inside Out
Make sure you brush up on your econometric models and Big Data analysis techniques. Be prepared to discuss specific projects where you've applied these skills, as the interviewers will want to see how you can bring value to their team.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem or explain how you've used Python in past projects, so have some examples at the ready.
✨Prepare Actionable Insights
Think about how you can present data-driven insights effectively. The company is looking for someone who can not only analyse data but also communicate findings clearly to stakeholders, so practice summarising complex information into actionable recommendations.
✨Embrace the Hybrid Work Culture
With hybrid working being part of the package, be prepared to discuss how you manage your time and productivity in a flexible work environment. Share any experiences you have with remote collaboration tools and how you stay connected with your team.
