At a Glance
- Tasks: Lead global analytics projects and turn data into actionable insights for clients.
- Company: Dynamic company at the forefront of analytics and AI innovation.
- Benefits: Enjoy a competitive salary, tailored benefits, and hybrid working options.
- Other info: Join a diverse team committed to innovation and professional growth.
- Why this job: Make a real impact by shaping analytics solutions that drive business success.
- Qualifications: Experience in analytics, AI, and data science tools like Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
The purpose of this role is to facilitate the delivery of best‑in‑class analytics and data assessments and roadmaps per established processes and templates, in concert with other business disciplines, to manage and develop the team and serve as a point of escalation as needed.
Responsibilities
- Client Delivery & Impact: Manage and execute analytics and data science solutions for global clients. Develop and implement measurement frameworks, MMM, experimentation and optimisation approaches. Translate complex analytical outputs into clear insights, recommendations and business actions. Work with client teams to embed analytics into decision‑making, planning and investment strategies.
- Product & Solution Innovation: Design and develop reusable analytics products and solutions (e.g., growth models, planning tools, experimentation engines). Contribute to the development of an AI‑enabled analytics suite (e.g., prediction engines, decisioning systems, agentic workflows). Translate repeatable client use‑cases into scalable modules, frameworks and toolkits. Partner with data, technology and engineering teams to industrialise solutions from prototype to production. Identify opportunities to embed automation, GenAI and agentic solutions into analytics workflows.
- Collaboration & Integration: Work cross‑functionally to support the integration of analytics into growth products and planning solutions. Collaborate with global and market teams to ensure solutions are adoptable, scalable and aligned to client needs. Support new business pitches with analytics input.
- Capability Building & Thought Leadership: Contribute to the evolution of analytics, AI and data science capability. Develop and codify best practices, frameworks and playbooks. Provide thought leadership on AI, modelling and measurement innovation internally and externally.
Qualifications: Previous experience in analytics, data or research, ideally within a media or marketing environment. Experience applying AI and advanced analytics (predictive modelling, ML, emerging GenAI approaches) to drive decision‑making and automation. Hands‑on proficiency in data science tools and languages (e.g., Python, SQL). Ability to translate analytical work into clear insights, recommendations and actions for non‑technical stakeholders. Strong commercial mindset, focused on impact, adoption and business outcomes, not just analysis.
Benefits: Permanent role with hybrid working – expected to be in the London office three times a week. Competitive salary and benefits package that can be tailored to individual needs.
EEO Statement: We welcome applications from all individuals, regardless of race, ethnicity, nationality, religion, gender, gender identity, sexual orientation, age, disability, marital status or any other protected characteristic. All applicants will be treated fairly and respectfully.
Global Analytics Director in London employer: Dentsu Aegis Network Ltd.
As a Global Analytics Director at our company, you will thrive in a dynamic and inclusive work culture that prioritises innovation and collaboration. With a competitive salary and tailored benefits, we offer a permanent role with hybrid working arrangements, allowing you to balance your professional and personal life effectively. Our commitment to employee growth is evident through opportunities for thought leadership and capability building in the rapidly evolving fields of analytics and AI, making us an exceptional employer for those seeking meaningful and rewarding careers.
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We think you need these skills to ace Global Analytics Director in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Dentsu Aegis Network Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
