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- Tasks: Design and execute data-driven marketing campaigns to boost customer engagement and ROI.
- Company: Join a forward-thinking company focused on innovative marketing strategies and analytics.
- Benefits: Enjoy flexible work arrangements and opportunities for professional growth.
- Why this job: Be at the forefront of marketing analytics, shaping strategies with your insights and creativity.
- Qualifications: 5+ years in marketing science, strong skills in SQL/Python, and leadership experience required.
- Other info: This is a 6-month contract role with potential for extension based on performance.
The predicted salary is between 36000 - 60000 £ per year.
Duration – 6 months
Duties:
– Design and execute data-driven marketing campaigns aimed at enhancing customer acquisition, retention, and overall ROI.
– Evaluate and optimize campaign effectiveness: Continuously assess the performance of campaigns and adjust strategies to meet objectives.
– Data collection and analysis: Gather and analyze data across various marketing channels, including digital advertising, using SQL/Python to access and manipulate data.
– 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.
– Experimentation and testing: Collaborate with marketing scientists and stakeholders to design and implement experiments that validate model outcomes and enhance learning accuracy.
– Stay updated on industry trends: Keep up with the latest advancements in marketing analytics and emerging technologies to ensure strategies are cutting-edge.
– Present findings to senior leadership: Effectively communicate complex data and actionable insights in a clear, concise manner to non-technical stakeholders.
Skills & Qualifications:
– 5+ years of experience in marketing science or a similar role.
– Proven experience in leading a team of marketing analysts/scientists.
– Proficient in marketing analytics tools (e.g., Google Analytics, Adobe Analytics, marketing automation platforms).
– 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.
– Strong proficiency in SQL and Python.
– Excellent leadership, project management, and cross-functional collaboration skills.
– Strong communication and interpersonal abilities, capable of translating complex data into actionable insights for non-technical audiences.
Statistician employer: Morgan McKinley
Contact Detail:
Morgan McKinley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistician
✨Tip Number 1
Make sure to showcase your experience with marketing analytics tools like Google Analytics and Adobe Analytics. Highlight specific projects where you successfully used these tools to drive results.
✨Tip Number 2
Demonstrate your leadership skills by discussing any previous experiences where you led a team of analysts or scientists. Share how you guided them to achieve their goals and the impact it had on the organization.
✨Tip Number 3
Stay updated on the latest trends in marketing analytics and emerging technologies. Mention any recent courses, webinars, or conferences you've attended that relate to advanced analytics techniques or MMM.
✨Tip Number 4
Prepare to discuss how you can effectively communicate complex data insights to non-technical stakeholders. Think of examples where you translated data into actionable strategies that were well-received by senior leadership.
We think you need these skills to ace Statistician
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Statistician position. Understand the key responsibilities and required skills, especially focusing on marketing analytics and data-driven strategies.
Tailor Your CV: Customize your CV to highlight relevant experience in marketing science, data analysis, and leadership. Emphasize your proficiency in SQL and Python, as well as any experience with marketing analytics tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for marketing analytics and your ability to lead teams. Mention specific examples of past projects where you successfully designed and executed data-driven campaigns.
Prepare for Interviews: If selected for an interview, be ready to discuss your experience with Marketing Mix Modeling and how you've used data to drive marketing strategies. Prepare to explain complex data insights in a way that non-technical stakeholders can understand.
How to prepare for a job interview at Morgan McKinley
✨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 projects as if you were addressing non-technical stakeholders, emphasizing clarity and conciseness.
✨Stay Updated on Industry Trends
Research the latest advancements in marketing analytics and emerging technologies. Be ready to discuss how these trends can impact marketing strategies and how you plan to integrate them into your work.
