Statistician

Duration - 6 months

Hybrid, London

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.