At a Glance
- Tasks: Analyse data to drive client growth and enhance customer experiences.
- Company: Join RAPP, a leading precision marketing agency that values creativity and empathy.
- Benefits: Competitive salary, inclusive culture, and opportunities for continuous learning.
- Other info: Dynamic team environment with mentorship and career development opportunities.
- Why this job: Make a real impact by using data to shape marketing strategies.
- Qualifications: Degree in a quantitative field or relevant experience; strong skills in Python and SQL.
The predicted salary is between 30000 - 40000 £ per year.
About Our Marketing Sciences Team
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 emphasizes personal well‑being.
Your Role
In the Data Analytics team you will ensure both the voice of the customer and CFO are represented in the room with hard evidence. As well as supporting exceptional customer experiences using data, you will help ensure every action we take directly improves performance against your clients’ objectives. As an Analyst, you will work under supervision to deliver projects within set deadlines, utilizing your strong hands‑on analytical capabilities. Your strengths in Python and SQL will ensure you can efficiently deliver robust analytics with guidance from your team. Your experience with web and social analytics tools (GA, Adobe, Brandwatch, Sprinklr) and data visualisation tools (Power BI, Tableau, Looker, etc.) will enable you to uncover key insights across channels and create self‑service dashboards. You will be comfortable working as part of a team with supervision from seniors, whilst being able to execute analysis independently. Under the guidance of senior members of the team, you support answering strategic questions using data and forge an understanding of how to deliver personalisation at scale.
Responsibilities
- Mentorship: Learn how to become a manager, follow the direction of your line manager and manage upwards as needed.
- Client engagement: Understand clients’ objectives, KPIs, and deliver on briefs. Build relationships with client‑side analysts. Challenge briefs and ambition. Support the creation of statistically significant measurement and reporting. Communicate analytical outputs and ensure deliverables are completed on time with presentation quality.
- New Business / PR: Be aware of new business pitches and work we are doing; participate in thought pieces, case studies, award entries.
- Network: Understand our network and other players within it.
- Evolution: Focus on continuous learning—develop core analytical skills, understand strengths and weaknesses, and train accordingly.
Skills and Experience
- Bachelor’s Degree in a quantitative subject (Statistics, Mathematics, Economics) or Social Sciences, with heavy emphasis on quantitative methods; Master’s degree or PhD is a plus. Degree not required with appropriate work experience.
- 1–2 years of relevant experience in marketing analytics, customer experience insights, performance optimisation, ideally in a marketing agency or management consulting practice.
- Proficiency in core analytical languages and software (Excel, SQL, Python, Alteryx) and statistics.
- Experience with data visualisation tools (Power BI, Tableau, Looker, etc.) and web/social analytics (GA, Adobe, Brandwatch, Sprinklr).
- Understanding of value engineering/business casing, performance measurement frameworks, data protection/GDPR, customer journey analysis, brief planning, progressive data capture, segmentation and modelling, martech design, and ecosystem tracking (tagging, taxonomy).
- Developing knowledge of experimental/multivariate test design techniques and 1st, 2nd and 3rd party data.
- Confident, conscientious, self‑starter with a good work ethic; capable of building good working relationships with clients and teammates.
- Natural curiosity, imagination, and practical problem‑solving approach.
- Experience jumping in to find problems across data and process and fixing them.
- Ability to work independently and with a team in an agile, fast environment, and to develop and adapt repeatable processes for efficiency and consistency.
Data Analyst - Permanent employer: RAPP
At RAPP, we pride ourselves on being a leading precision marketing agency that champions individuality and inclusivity in both our solutions and workplace culture. As a Data Analyst, you will benefit from a supportive environment that fosters personal well-being and professional growth, with opportunities for mentorship and continuous learning. Our commitment to diversity and employee development, combined with the chance to work on impactful projects, makes RAPP an exceptional employer for those seeking meaningful and rewarding careers in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Permanent
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, and don’t be shy to reach out on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those using Python, SQL, and data visualisation tools. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions and scenarios. Think about how you can demonstrate your problem-solving skills and your ability to work with clients. Remember, it’s all about showing how you can add value to their team!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining us. Tailor your application to highlight how your skills align with our mission at RAPP, and let your personality shine through!
We think you need these skills to ace Data Analyst - Permanent
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 proficiency in Python, SQL, and any data visualisation tools you've used. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for data analytics. Share specific examples of how you've used data to drive insights or improve performance. Let us know why you're excited about joining our Marketing Sciences Team!
Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! If you’ve worked on projects involving customer experience insights or performance optimisation, share those stories. We love seeing how you tackle problems with data!
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 skills with Python, SQL, and any data visualisation tools like Power BI or Tableau. Be ready to discuss how you've used these tools in past projects, as this will show your hands-on analytical capabilities.
✨Understand the Client's Needs
Before the interview, research RAPP and their approach to client engagement. Think about how you can align your analytical skills with their objectives and KPIs. This will help you demonstrate that you can deliver insights that truly matter to clients.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data-related challenges in the past. Highlight your natural curiosity and practical problem-solving approach, as these traits are essential for a Data Analyst role.
✨Be Ready to Discuss Team Dynamics
Since you'll be working under supervision and as part of a team, think about how you've collaborated with others in previous roles. Be prepared to share experiences where you built good working relationships and contributed to team success.
