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- Tasks: Develop econometric models to boost client profitability and provide actionable insights.
- Company: Leading data and analytics company based in Oxford.
- Benefits: Flexible working environment and opportunities for professional growth.
- Other info: Join a dynamic team focused on driving revenue growth.
- Why this job: Make a real impact on marketing strategies and client success.
- Qualifications: 2+ years in marketing analytics, strong analytical and presentation skills.
The predicted salary is between 45000 - 55000 £ per year.
A leading data and analytics company is looking for an Advanced Analytics Senior Consultant in Oxford. This role requires the development of econometric models to enhance client profitability. Candidates should possess strong analytical and presentation skills, with a minimum of 2 years in marketing analytics and relevant experience in the FMCG sector.
Responsibilities include working with clients to provide actionable insights and strategies for effective marketing decisions. A flexible working environment is part of the offer.
Senior Analytics Consultant: Revenue Growth & Insights in Oxford employer: NIELSENIQ
Contact Detail:
NIELSENIQ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Consultant: Revenue Growth & Insights in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Prepare for interviews by practising your presentation skills. Since this role involves providing actionable insights, being able to clearly communicate your ideas is key. Use mock interviews to get comfortable!
✨Tip Number 3
Showcase your analytical prowess! Bring examples of your past work, especially any econometric models or marketing strategies you've developed. This will help you stand out as a candidate who can deliver results.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Analytics Consultant: Revenue Growth & Insights in Oxford
Some tips for your application 🫡
Show Off Your Analytical Skills: Make sure to highlight your analytical prowess in your application. We want to see how you've used data to drive decisions and improve profitability in your previous roles, especially in marketing analytics.
Tailor Your Presentation: When crafting your application, think about how you would present your insights to a client. Use clear, concise language and structure your thoughts logically. We love a good presentation, even in written form!
FMCG Experience is Key: If you've got experience in the FMCG sector, shout about it! We’re looking for candidates who understand the unique challenges and opportunities in this space, so make sure to weave that into your application.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at NIELSENIQ
✨Know Your Numbers
Brush up on your econometric models and be ready to discuss how you've used them to drive client profitability in the past. Be prepared to share specific examples from your experience in marketing analytics, especially within the FMCG sector.
✨Showcase Your Analytical Skills
During the interview, demonstrate your analytical prowess by discussing a challenging project you worked on. Highlight the methods you used to derive insights and how those insights led to actionable strategies for clients.
✨Prepare for Client Scenarios
Expect to engage in role-play or case study scenarios where you'll need to provide insights based on hypothetical client data. Practise articulating your thought process clearly and concisely, as effective communication is key in this role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to analytics and how they measure success. This shows your genuine interest in the role and helps you assess if the company’s values align with yours.