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- Tasks: Generate marketing insights and develop customer profiles for luxury automotive.
- Company: Leading marketing agency with a focus on innovation.
- Benefits: Hybrid work model, competitive pay, and valuable experience in luxury sector.
- Other info: 6-month temporary role with opportunities to collaborate across teams.
- Why this job: Dive into data analysis and make an impact in the luxury automotive market.
- Qualifications: Proficiency in SQL and Python, detail-oriented and curious mindset.
The predicted salary is between 30000 - 40000 £ per year.
A leading marketing agency is seeking a Data Analyst for a 6-month temporary role focused on luxury automotive. The candidate will assist in generating marketing insights, develop customer profiles, and contribute to strategic analysis.
A solid foundation in SQL and Python is required. The role offers a hybrid work model with 3 days in the office and 2 days remote.
The ideal applicant is detail-oriented, curious, and eager to work with data across multiple teams.
Data Analyst — Luxury Automotive (Hybrid, 6-Month) in London employer: RAPP
Contact Detail:
RAPP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst — Luxury Automotive (Hybrid, 6-Month) in London
✨Tip Number 1
Network like a pro! Reach out to people in the luxury automotive sector on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your SQL and Python projects. When you get the chance, share how you've used these tools to generate insights or solve problems.
✨Tip Number 3
Be curious and ask questions during interviews. Show your eagerness to learn and collaborate with different teams. This will highlight your detail-oriented nature and fit for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Analyst — Luxury Automotive (Hybrid, 6-Month) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you can use these tools to generate insights and contribute to strategic analysis, so don’t hold back!
Be Detail-Oriented: Since the role is all about data, being detail-oriented is key. When you write your application, double-check for any typos or errors. We appreciate candidates who take the time to present their best selves.
Express Your Curiosity: Let us know about your curiosity and eagerness to work with data! Share examples of how you've explored data in the past or how you’ve developed customer profiles. We love a candidate who’s passionate about learning.
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 RAPP
✨Know Your SQL and Python
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, as well as any challenges you faced and how you overcame them.
✨Understand the Luxury Automotive Market
Do some research on the luxury automotive sector. Familiarise yourself with current trends, key players, and marketing strategies. This will show your genuine interest in the role and help you provide insightful contributions during the interview.
✨Prepare for Data-Driven Questions
Expect questions that require you to analyse data or interpret results. Practice explaining your thought process clearly and concisely. Use examples from your past experience to demonstrate how you’ve generated insights from data.
✨Show Your Curiosity and Detail Orientation
During the interview, highlight your curiosity about data and your attention to detail. Share instances where your inquisitive nature led to discovering valuable insights or improving processes. This will resonate well with the hiring team looking for someone eager to collaborate across multiple teams.