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- Tasks: Analyse data to boost operational efficiency and develop commercial models.
- Company: Leading UK utility provider with a focus on innovation.
- Benefits: Hybrid work, competitive salary, performance-related pay, and comprehensive benefits.
- Why this job: Join a dynamic team and make a real impact in commercial analytics.
- Qualifications: Degree in a numerical field and strong data analysis experience.
- Other info: Great opportunity for career growth in a supportive environment.
The predicted salary is between 28800 - 43200 £ per year.
A leading utility provider in the UK seeks a skilled candidate for a role in Commercial Analytics. This position involves analyzing data to optimize operational efficiency, engaging with stakeholders, and developing commercial models.
Ideal candidates will hold a degree in a numerical field, possess extensive experience in data analysis, and have strong communication skills.
The role offers a hybrid work environment and a comprehensive benefits package, including competitive salary and performance-related pay.
Commercial Data & Sourcing Analyst (Hybrid, 36h) employer: idibu
Contact Detail:
idibu Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Data & Sourcing Analyst (Hybrid, 36h)
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give us insights into the role and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by practising common questions related to data analysis and stakeholder engagement. We should also be ready to discuss our past experiences and how they relate to optimising operational efficiency.
✨Tip Number 3
Showcase our analytical skills during the interview. Bring examples of commercial models we've developed or data projects we've worked on. This will help us stand out as candidates who can hit the ground running.
✨Tip Number 4
Don’t forget to follow up after the interview! A quick thank-you email reiterating our interest in the role can keep us fresh in their minds. Plus, it shows we’re genuinely keen on the opportunity.
We think you need these skills to ace Commercial Data & Sourcing Analyst (Hybrid, 36h)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and any relevant numerical qualifications. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about commercial analytics and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Communication Skills: Since this role involves engaging with stakeholders, make sure to highlight your communication skills in your application. Whether it’s through examples in your CV or your cover letter, let us know how you effectively convey complex data insights.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at idibu
✨Know Your Numbers
Brush up on your data analysis skills and be ready to discuss specific tools and methodologies you've used. The company is looking for someone who can optimise operational efficiency, so come prepared with examples of how you've done this in the past.
✨Engage with Stakeholders
Since the role involves engaging with stakeholders, think about how you can demonstrate your communication skills. Prepare anecdotes that showcase your ability to collaborate and convey complex data insights in a clear and concise manner.
✨Understand the Commercial Landscape
Familiarise yourself with the utility sector and current trends affecting it. This will not only show your interest in the industry but also help you articulate how your analytical skills can contribute to developing commercial models that align with the company's goals.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of your interview. This could include inquiries about the team dynamics, the tools they use for data analysis, or how success is measured in this role. It shows you're genuinely interested and have done your homework!
