At a Glance
- Tasks: Analyse diverse datasets to provide insights that shape client marketing strategies.
- Company: Leading marketing agency in London with a focus on innovation.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: 6-month contract with a collaborative and curious work environment.
- Why this job: Join a dynamic team and make an impact through data-driven decisions.
- Qualifications: Proficiency in SQL and Python, plus strong communication skills.
The predicted salary is between 36000 - 60000 £ per year.
A leading marketing agency in London is looking for a Data Analyst for a 6-month fixed-term contract. This hybrid role involves working with diverse datasets to provide insights that drive client marketing strategies. You will be expected to set up test plans, analyze campaigns, and create customer profiles.
Applicants should have skills in SqL and Python, a passion for data, and the ability to communicate findings effectively. Join a dynamic team that values curiosity and collaborative learning.
Data Analyst, Analytics — Hybrid (London, 6-Month Contract) employer: RAPP
As a leading marketing agency in London, we pride ourselves on fostering a vibrant work culture that encourages curiosity and collaborative learning. Our Data Analysts enjoy a hybrid work environment, competitive benefits, and ample opportunities for professional growth, making it an ideal place for those passionate about data to thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst, Analytics — Hybrid (London, 6-Month Contract)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the agency. You never know who might give you a heads-up about an opportunity or refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL and Python. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common data analysis scenarios. Think about how you would set up test plans or analyse campaigns, and be ready to share your thought process. We want to see your passion for data shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Analyst, Analytics — Hybrid (London, 6-Month Contract)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your skills in SQL and Python, as well as any relevant experience with data analysis. We want to see how your background aligns with the role, so don’t be shy about showcasing your passion for data!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this Data Analyst position and how you can contribute to our team. Be sure to mention your experience with diverse datasets and your ability to communicate insights effectively.
Showcase Your Projects:If you’ve worked on any projects that involved setting up test plans or analysing campaigns, make sure to include them in your application. We love seeing real examples of your work and how you’ve used data to drive decisions!
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 you’re keen to join our dynamic team!
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 your skills by reviewing common queries and data manipulation techniques, so you can confidently discuss how you've used them in past projects.
✨Prepare Insightful Examples
Think of specific instances where you've analysed datasets to drive marketing strategies. Be ready to share how your insights led to actionable outcomes, as this will demonstrate your ability to apply data analysis in a real-world context.
✨Communicate Clearly
Since effective communication is key, practice explaining complex data findings in simple terms. You might want to prepare a few examples of how you've presented data to non-technical stakeholders, showcasing your ability to bridge the gap between data and decision-making.
✨Show Your Curiosity
This role values curiosity and collaborative learning, so be prepared to discuss what excites you about data analysis. Share any recent trends or tools you've been exploring, and express your eagerness to learn and grow within the team.
