At a Glance
- Tasks: Lead data-driven projects, manage junior analysts, and shape strategies for client growth.
- Company: Join RAPP, a global leader in precision marketing with a focus on empathy and creativity.
- Benefits: Enjoy hybrid work, autonomy in projects, and a supportive team culture.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact by using data to drive smarter decisions for diverse clients.
- Qualifications: 4+ years in data analytics, strong SQL/Python skills, and excellent communication abilities.
The predicted salary is between 50000 - 65000 £ per year.
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 emphasises personal well-being.
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.
As a Senior Analyst, you’ll lead projects end-to-end, direct junior analysts, and help shape strategies that use data to drive smarter decisions across channels. You will do this on one flagship client or across multiple accounts, and will also play a role in supporting new business growth, and driving best practice across the team. Some of the projects and tasks you may lead include:
- Delivering and managing an on-going test and learn plan for a client’s omnichannel marketing activities
- Leading a strategic initiative to understand how to use a client’s first party data to power above-the-line media buys.
- Leading a progressive data capture exercise that clients can use to understand how to drive overall levels of data quality and volume in their business
- Using RAPP’s AI tools to drive an ongoing creative optimization programme
- Creating multi-variate customer segments and measure the impact of marketing against this audience
RAPP’s clients are hugely varied, as is the work they ask us to do. But what unites them is that data is a strategic imperative for them. You will be front and centre of what RAPP does, and a key part of delivering for and growing your client. You’ll be joining a large (50+) group of talented and supportive people, in a group where culture and team cohesion really matter. We treat our team as grown ups. You will have proper autonomy to run your own projects – with the help of said supportive team, of course. Developing how we work and function as a team is a group endeavour, not just the highest paid person in the room. You will be canvassed, and your voice listened to, around what our deliverables should look like and how our team should run.
ABOUT YOU – essential skills
- You are hands on with data – you use SQL and/or Python regularly and write code to pull data from a GCP, AWS, Azure or equivalent
- You’re not a stats expert, but you do understand, use and can talk about some basic concepts (feature importance, regression, clustering, causation vs correlation), etc.
- You have 4+ years 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 can show how what you’ve done before will compensate for this.
- You’re comfortable taking data and turning it into tangible recommendations for a non-technical, decision-making audience. Ideally this would include answering a mix of more tactical (post campaign analysis, investment analysis, media evaluation) and strategic questions
- You’re a strong communicator, and are used to working closely with and presenting to internal non-technical stakeholders or clients
- You are curious, ask a lot of questions and are interested in the “why” of data – what it means, and what clients should do with it. That curiosity extends to a desire to understanding 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’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
- You’ll be OK working independently and happy to run projects with limited oversight
Senior Data Analyst (Web Analytics) - Permanent in London employer: RAPP
At RAPP, we pride ourselves on being a forward-thinking employer that champions individuality and inclusivity within our vibrant London office. Our hybrid work model promotes a healthy work-life balance, while our supportive culture encourages personal growth and collaboration among a talented team of over 50 professionals. With ample opportunities for autonomy in project management and a commitment to listening to employee feedback, RAPP is an ideal place for those seeking meaningful and rewarding careers in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst (Web Analytics) - Permanent in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data analysis prowess. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research the company and think about how your experience aligns with their needs. Be ready to share specific examples of how you've used data to drive decisions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Analyst (Web Analytics) - Permanent in London
Some tips for your application 🫡
Show Your Data Skills:Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these tools to pull data and make decisions, so don’t hold back on sharing specific examples!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate strong communication skills, so make sure your points are easy to understand, especially when explaining complex data concepts to a non-technical audience.
Demonstrate Your Curiosity:We love candidates who ask questions and dig deeper into data. In your application, share instances where your curiosity led to insights or improvements. Show us that you’re not just about the numbers but also about understanding their implications!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about who we are and what we do!
How to prepare for a job interview at RAPP
✨Know Your Data Tools
Make sure you’re well-versed in SQL and Python, as these are crucial for the role. Brush up on how to pull data from GCP, AWS, or Azure, and be ready to discuss your hands-on experience with these tools during the interview.
✨Understand Key Concepts
Familiarise yourself with basic statistical concepts like feature importance, regression, and clustering. Be prepared to explain these ideas in simple terms, as you’ll need to communicate them to non-technical stakeholders.
✨Showcase Your Curiosity
Demonstrate your curiosity about data by asking insightful questions during the interview. Share examples of how you've delved into datasets to uncover insights and how that has influenced decision-making in past projects.
✨Prepare for Scenario Questions
Expect scenario-based questions where you might need to outline how you would approach a specific data challenge. Think about past experiences where you’ve turned data into actionable recommendations and be ready to discuss those in detail.
