At a Glance
- Tasks: Analyse data for luxury automotive marketing and create actionable insights.
- Company: Join RAPP, a leading precision marketing agency with a focus on creativity and empathy.
- Benefits: Hybrid work model, inclusive culture, and opportunities for personal growth.
- Why this job: Make an impact in the luxury automotive sector while developing your analytical skills.
- Qualifications: Knowledge of SQL/Python, Power BI, and a passion for data-driven decision making.
- Other info: Collaborate with diverse teams and learn from industry experts.
The predicted salary is between 30000 - 42000 ÂŁ per year.
Data Analyst, Luxury Automotive - 6 month Temp role HYBRID – 3 DAYS IN THE OFFICE, 2 DAYS REMOTE.
WHO WE ARE
We are RAPP – world leaders in activating growth with precision and empathy at scale. As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviours, and aspirations. We foster an inclusive workplace that values diversity and emphasises personal well-being.
DATA ANALYTICS
The Data Analytics team at RAPP is a driving force behind the agency's success. Sitting within a wider Marketing Sciences team, we drive value for our clients by delivering work that helps them to market and run their businesses more effectively and efficiently, empowering them to make data-driven decisions that directly impact performance and drive measurable results. This role will specifically be working on our Luxury automotive account.
THE OPPORTUNITY
- Setting up a simple test and learn plan for a client’s marketing and CRM activities.
THE ROLE
As an Analyst, you will work on a specific client or workstream. Initially under the supervision of a more senior member of the team, you will quickly start to take ownership of your own deliverables. Some of the projects and tasks you may work on include:
- Setting up a simple test and learn plan for a client’s marketing and CRM activities.
- Using RAPP’s AI tools to provide clients with insights on what creative elements of a campaign are working, and why.
- Creating a customer profile for a specific audience subset and reporting back to a client.
- Providing post campaign analysis reporting for clients that tell them what elements of a campaign worked and how they should optimise the activity moving forward.
- Supporting the experience strategy team in the creation of a data-driven customer journey.
- Building a KPI tree or measurement framework that tells a client the key metrics they should track and try to move.
ABOUT YOU
You have a working knowledge of SQL and/or Python, Power BI and can independently write code to pull data from a cloud environment (AWS/Azure/GCP). You will have experience working agency, consulting or client side with customer- or customer related datasets - think marketing analytics, sales analysis, product analysis, consumer profiling etc. If you don’t have this experience, you have a demonstrable interest in growing your experience in this area and can show how what you’ve done before will help you do this.
More important than your technical skills and your past experience is your attitude, and what makes you tick. You are curious, ask a lot of questions and are most interested in the “why” of data – what it means, and what clients should do with it. That curiosity extends to a desire to understand a dataset and not just taking it at face value – you are accurate, detail-oriented and if a piece of data looks wrong, you’ll want to know why that might be. You will want to work independently even if that doesn’t happen on Day 1, and you will have an interest and desire in presenting your findings to the rest of your team and to clients, even if you don’t have much experience of doing that yet. You’ll get a kick working across multiple teams (at a client level and an analytics level), learning from others and sharing things you’ve learned with you.
ABOUT YOU – NICE TO HAVES
You will likely work across some of the following areas in your RAPP career and experience of any of the below is a plus; if you have experience of none of these things but think you fit the main criteria, we’d still love to hear you.
- Web and social analytics.
- Dashboarding/visualisation.
- Working with cloud environments in an engineering capacity.
- Statistics.
- Marketing orchestration/ad tech tools/stacks (Salesforce/Braze/Adobe/DSPs etc).
- Basic customer segmentation and modelling.
- Test and learn programmes.
- Campaign analysis.
- Customer journey/experience planning.
NB: Successful applicants will be hired through Atrium and will be engaged as Agency PAYE Temporary Workers. Atrium is a third-party employment company and acts as Omnicom’s Employer of Record for temporary roles.
Data Analyst- 6 months- Luxury Automotive employer: RAPP
Contact Detail:
RAPP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst- 6 months- Luxury Automotive
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at RAPP or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Think about how your skills in SQL, Python, and data visualisation can solve real problems for clients. Show them you're not just a number cruncher but a problem solver!
✨Tip Number 3
Don’t forget to showcase your curiosity! During interviews, ask insightful questions about their data strategies and how they measure success. This shows you're genuinely interested and ready to contribute.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re keen on being part of our team at RAPP, which is always a bonus!
We think you need these skills to ace Data Analyst- 6 months- Luxury Automotive
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Analyst role. Highlight your knowledge of SQL, Python, and any relevant analytics tools. We want to see how you can bring value to our luxury automotive account!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for data analytics. Share why you're excited about this role and how your curiosity drives your work. Let us know what makes you tick!
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal initiatives, make sure to mention them. We love seeing how you've applied your skills in real-world scenarios, especially in marketing analytics or consumer profiling.
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 shows us you’re keen to join our team at RAPP!
How to prepare for a job interview at RAPP
✨Know Your Data Tools
Make sure you brush up on your knowledge of SQL, Python, and Power BI. Be ready to discuss how you've used these tools in past projects or how you plan to apply them in this role. Showing familiarity with cloud environments like AWS or Azure will definitely give you an edge.
✨Show Your Curiosity
During the interview, demonstrate your curiosity about data. Ask insightful questions about how RAPP uses data to drive client success. This shows that you're not just interested in the numbers but also in understanding their implications and how they can be leveraged for better marketing strategies.
✨Prepare for Scenario Questions
Expect scenario-based questions where you might need to outline how you'd set up a test and learn plan or analyse a campaign's performance. Practise articulating your thought process clearly, as this will showcase your analytical skills and problem-solving abilities.
✨Highlight Team Collaboration
RAPP values teamwork, so be prepared to talk about your experiences working across different teams. Share examples of how you've collaborated with others to achieve a common goal, especially in a data-driven context. This will show that you can thrive in their inclusive and diverse environment.