Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and execute data-driven marketing campaigns to boost customer engagement and ROI.
- Company: Join a dynamic team in London focused on innovative marketing analytics.
- Benefits: Enjoy a hybrid work model with flexibility and opportunities for professional growth.
- Why this job: Be at the forefront of marketing science, leading impactful projects and collaborating with experts.
- Qualifications: 5+ years in marketing science, strong leadership skills, and proficiency in SQL/Python required.
- Other info: This is a 6-month contract role with potential for extension based on performance.
The predicted salary is between 42000 - 84000 £ per year.
Job Description
Duration – 6 months \\n\\nHybrid, London\\n\\nDuties:\\n\\n- Design and execute data-driven marketing campaigns aimed at enhancing customer acquisition, retention, and overall ROI.\\n\\n- Evaluate and optimize campaign effectiveness: Continuously assess the performance of campaigns and adjust strategies to meet objectives.\\n\\n- Data collection and analysis: Gather and analyze data across various marketing channels, including digital advertising, using SQL/Python to access and manipulate data.\\n\\n- Lead the MMM (Marketing Mix Modeling) process: Oversee the transition of MMM from an external agency to an in-house process, including model selection, development, and training. Ensure the actionable insights from the model are integrated into marketing strategies.\\n\\n- Experimentation and testing: Collaborate with marketing scientists and stakeholders to design and implement experiments that validate model outcomes and enhance learning accuracy.\\n\\n- Stay updated on industry trends: Keep up with the latest advancements in marketing analytics and emerging technologies to ensure strategies are cutting-edge.\\n\\n- Present findings to senior leadership: Effectively communicate complex data and actionable insights in a clear, concise manner to non-technical stakeholders.\\n\\nSkills & Qualifications:\\n\\n- 5+ years of experience in marketing science or a similar role.\\n\\n- Proven experience in leading a team of marketing analysts/scientists.\\n\\n- Proficient in marketing analytics tools (e.g., Google Analytics, Adobe Analytics, marketing automation platforms).\\n\\n- Expertise in advanced analytics techniques such as regression models (e.g., ridge regression, Bayesian regression), time series analysis, forecasting, and end-to-end MMM ownership.\\n\\n- Strong proficiency in SQL and Python.\\n\\n- Excellent leadership, project management, and cross-functional collaboration skills.\\n\\n- Strong communication and interpersonal abilities, capable of translating complex data into actionable insights for non-technical audiences
Statistician employer: Morgan McKinley (South West)
Contact Detail:
Morgan McKinley (South West) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistician
✨Tip Number 1
Make sure to showcase your experience in leading teams of marketing analysts or scientists. Highlight specific projects where you successfully guided a team to achieve measurable results, as this is crucial for the role.
✨Tip Number 2
Familiarize yourself with the latest trends in marketing analytics and emerging technologies. Being able to discuss recent advancements during your interview will demonstrate your commitment to staying at the forefront of the industry.
✨Tip Number 3
Prepare to discuss your experience with advanced analytics techniques, especially regression models and MMM ownership. Be ready to provide examples of how you've applied these techniques to drive campaign success.
✨Tip Number 4
Practice explaining complex data insights in simple terms. Since you'll be presenting findings to non-technical stakeholders, being able to communicate effectively is key to making a strong impression.
We think you need these skills to ace Statistician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in marketing science and analytics. Emphasize your proficiency in SQL and Python, as well as any leadership roles you've held in the past.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data-driven marketing and how your skills align with the company's goals. Mention specific examples of successful campaigns you've led or contributed to.
Showcase Your Analytical Skills: Provide examples of how you've used advanced analytics techniques in previous roles. Discuss your experience with regression models, time series analysis, and how you've applied these skills to improve campaign effectiveness.
Prepare for Interviews: Be ready to discuss your experience in leading teams and collaborating with cross-functional stakeholders. Prepare to explain complex data concepts in simple terms, as you'll need to communicate findings to non-technical audiences.
How to prepare for a job interview at Morgan McKinley (South West)
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL and Python. Bring examples of how you've used these tools in past projects, especially in data collection and analysis for marketing campaigns.
✨Demonstrate Leadership Experience
Highlight your experience in leading teams of marketing analysts or scientists. Share specific instances where you guided a project or mentored team members, showcasing your leadership and collaboration skills.
✨Communicate Complex Insights Clearly
Practice explaining complex data and analytics concepts in simple terms. Prepare to present findings from previous roles to demonstrate your ability to communicate effectively with non-technical stakeholders.
✨Stay Updated on Industry Trends
Research the latest advancements in marketing analytics and be ready to discuss how these trends can impact the role. Showing that you're proactive about staying informed will impress interviewers.
