Positions: Analytics Director - Mediahub - United Kingdom

Location:

London, England, United Kingdom |

Location:

London, England, United Kingdom | Agency:
Mediahub - United Kingdom #: 19057 | Type of

Contract:

Regular

WHO ARE WE:

We are Mediahub, the industry’s best kept secret. This year we got our first Campaign School Report, coming in at number one for building the most ethnically diverse team in the industry. COMvergence rank us as the UK's fastest growing media agency for the second year running.

We bring a challenger mindset to everything we do. Brands choose to work with us to disrupt category norms.

We offer the best of both worlds. A start‑up culture backed by Mediabrands.

Just some of the brands we work with – New Balance, Pinterest, Celebrity Cruises, Activision, Esprit, Bicester Collection.

You will be joining an agency that is for everyone.

We live by our values:

• Anticipate tomorrow - we are challengers, we are proactive in thinking about what needs to happen today in order to make tomorrow better
• Hustle from the heart - we move fast, take ownership, and look out for each other
• Perform with pride - we take pride and care in what we do, and we strive for excellence
• Believe you can - believe in yourself to make a difference; believe in each other to do great things
• Stay curious -we have fun on the journey of discovery

As the Analytics Director, you will lead and oversee the analytics function for our clients on a global scale. Your role will involve managing the delivery of everything from Dashboards to advanced analytics projects, collaborating with Media teams, data science and engineering teams, and driving innovation in data solutions. You will ensure that analytics outputs align with business objectives and deliver measurable value to clients.

This position requires a strategic thinker with a deep understanding of analytics and its application within the business context.

We seek a passionate, ambitious, and curious leader who thrives in a dynamic and collaborative environment. The ideal candidate will have a strategic mindset, strong business acumen, and the ability to innovate and drive change within the analytics function. You should be committed to delivering exceptional client service and be ready to take on new challenges that push the boundaries of traditional analytics.

• Team Leadership: Manage a team of analysts, providing guidance, mentoring, and ensuring the delivery of high‑quality analytics outputs across key projects.
• Project Management: Oversee the specification and delivery of critical analytics projects, ensuring they meet client requirements and deadlines. Work closely with Lead Analysts to maintain project alignment with business objectives.
• Client Relationship Management: Act as a key point of contact for clients, working alongside the Group Analytics Director to nurture and expand client relationships. Own the analytics output for assigned accounts and campaigns.
• Test and Learn Programmes: Deploy and oversee test and learn programmes, ensuring they deliver demonstrable incremental value for clients through initiatives such as onsite conversion rate optimisation (CRO) and digital ad platform enhancements.
• Data Solutions Development: Collaborate with Engineering and Data Science teams to advance data solutions, including econometrics, investment planning, clustering, and modelling.
• Innovation in Analytics: Contribute to shaping the organisation’s data analytics offering by exploring and applying new techniques in marketing, consumer research, predictive analytics, and machine learning.
• Stakeholder Communication: Serve as a bridge between client business users and the data engineering team, ensuring clear communication and understanding of analytics findings and recommendations.

• Experience: Significant years of relevant experience, preferably in managing the delivery of complex analytics projects within a global brand or agency environment.
• Technical
  
  Skills:
  
  Proficiency in SQL databases and dashboarding software such as Power BI or Tableau is important. Familiarity with programming languages such as Python or R and their associated data analysis libraries (e.g., Num Py, Pandas,…