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- Tasks: Join a creative agency to analyse data and drive marketing strategies for top brands.
- Company: A dynamic advertising agency focused on performance marketing and data-driven insights.
- Benefits: Competitive salary, opportunity for growth, and a vibrant team culture.
- Why this job: Shape data usage in campaigns while collaborating with diverse teams in a fast-paced environment.
- Qualifications: 3-5 years in data strategy or performance marketing; degree in a numbers-focused field preferred.
- Other info: Ideal for curious minds who thrive on data and client interactions.
The predicted salary is between 36000 - 60000 £ per year.
Performance marketing role within a creative advertising agency. Salary £45-55k, 3-5 yrs experience.
Role is rooted in data strategy, as a key connector between data insights, strategic planning, and campaign execution. Sitting at the crossroads of analytics, marketing, and client services, you’ll help steer growth for prominent brands by translating data into clear, actionable strategies.
The position calls for someone curious, proactive, and analytical—someone who’s just as comfortable working through complex datasets as they are leading conversations with senior clients. While the role is fast-paced and varied, it also offers the opportunity to shape how data is used within the agency and by clients, particularly in retail and performance-led environments.
Key Responsibilities- Examine market and consumer trends to uncover areas for business growth
- Analyse market trends and data to develop efficient trading strategies
- Build data-led strategies to guide marketing and sales performance
- Regularly present findings and strategic recommendations to clients and internal leaders
- Develop and improve weekly and ad hoc reports that inform client decision-making
- Partner with cross-functional teams to inform campaign planning and execution
- Track campaign performance and identify ways to enhance results
- A background in data or digital strategy, performance marketing, or similar (around 3–5 years’ experience)
- A degree in a numbers-focused field (like statistics, economics, or psychology with a quantitative angle)
- Strong skills in data handling and analysis, with fluency in Excel; SQL or similar tools a bonus
- Experience making sense of large datasets and pulling out insights that drive action
- Clear communication and presentation skills, especially when explaining technical topics to non-technical audiences
- Comfortable in fast-moving, complex environments—able to multitask and prioritise effectively
- Familiarity with measuring marketing impact and campaign ROI; bonus if you’ve used tools like Power BI, Tableau, or social analytics platforms
Midweight Data Strategist employer: Strategy Book
Contact Detail:
Strategy Book Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Midweight Data Strategist
✨Tip Number 1
Familiarise yourself with the latest trends in performance marketing and data strategy. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your proactive approach.
✨Tip Number 2
Network with professionals in the industry, especially those who work in data strategy or performance marketing. Attend relevant events or webinars to connect with potential colleagues and learn from their experiences, which can give you insights into what we value at StudySmarter.
✨Tip Number 3
Brush up on your data analysis skills, particularly in Excel and SQL. Consider taking online courses or working on personal projects that involve large datasets, as this practical experience will be invaluable when discussing your capabilities with us.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive marketing strategies in previous roles. Being able to articulate your thought process and the impact of your work will demonstrate your analytical mindset and fit for the Midweight Data Strategist position.
We think you need these skills to ace Midweight Data Strategist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data strategy and performance marketing. Use specific examples that demonstrate your analytical skills and ability to translate data into actionable strategies.
Craft a Compelling Cover Letter: In your cover letter, express your curiosity and proactive nature. Discuss how your background aligns with the role and provide examples of how you've successfully worked with complex datasets and presented findings to clients.
Showcase Your Skills: Emphasise your proficiency in data handling tools like Excel, SQL, or any other relevant software. Mention any experience you have with Power BI or Tableau, as these are valuable for the role.
Prepare for Interviews: Be ready to discuss your approach to analysing market trends and developing trading strategies. Prepare to explain technical concepts in simple terms, as you'll need to communicate effectively with non-technical audiences.
How to prepare for a job interview at Strategy Book
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis. Bring examples of how you've used data to drive marketing strategies or improve campaign performance. This will demonstrate your ability to handle complex datasets and extract actionable insights.
✨Communicate Clearly
Since the role involves explaining technical topics to non-technical audiences, practice articulating your thoughts clearly. Use simple language to explain your past projects and findings, ensuring that even those unfamiliar with data can understand your points.
✨Demonstrate Curiosity and Proactivity
Show your enthusiasm for the role by discussing recent market trends or data insights that interest you. This will highlight your curiosity and proactive nature, which are essential traits for a Midweight Data Strategist.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you would handle real-world scenarios, such as analysing a dataset to inform a marketing strategy. Think through your approach to problem-solving and be ready to share your thought process during the interview.
