Head of Data Science, Analytics and Reporting

. Head of Data Science & Analytics and Reporting

Location:

Stratford, London. Office-based with high flexibility (1-2 days per week in the office). We are professionals with purpose, beating cancer every day. But we need to go much further and much faster. That's why we're looking for someone talented, someone who wants to develop their skills, someone like you.

As Head of Data Science & Analytics and Reporting you will play an essential role in helping us achieve this mission to place data and audiences at the core of our decision-making process. You will lead our Data Science, Analytics, and Reporting teams through a large data and technology transformation program within our Marketing, Fundraising and Engagement (MFE) directorate. This will involve providing technical support and leadership across a multidisciplinary team to leverage industry best practices for insights, analytics, and reporting.

You will spearhead the transition from legacy systems to a robust, scalable, and future-fit tech stack, and develop a highly engaged and talented team of data professionals. Furthermore, you will be at the forefront of our data-driven journey, playing an influential role in creating and nurturing a strong data culture across MFE and the wider organisation.

Collaborating closely with the Head of Data Strategy and Delivery, Consumer Insight & Experience, and Audience Strategy & Innovation teams to:
Senior leadership experience at Head level or above, with a background leading data analysis and modelling functions in large, complex B2C marketing-led organisations with a digital-first approach.

Background in technical coding language and data visualisation tools (e.g. SQL, Python, Snowflake, Power

BI, Databricks, GA) and experience implementing best practices, guidance, and standards.

Experience using statistical analysis to understand and drive value from consumer behaviour (including setting up supervised & unsupervised learning models, data cleaning, data analytics, feature creation, model selection, performance metrics, and visualisations). Solid grounding in the principles and application of MLOps (e.g., Snowpark, MLFlow, Github) with experience in product ionising and managing models.

Strong skills in managing, influencing, and communicating with stakeholders at all levels (including senior leadership). This includes:
The ability to build efficient and scalable organisational structures, processes, and methodologies for data teams. The ability to clearly and simply convey expertise and insight, engaging and empowering others to build their knowledge.

If you'reexperience we'd still love to hear from you. interested in applying and excited about working with us but are unsure if you have the right skills and We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals.

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