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6 days ago
  • Level Senior
  • Professions Research & Data Analysis
  • Type Full Time
  • Location London, United Kingdom
Associate Analytics DirectorAKQA


As an Associate Analytics Director at AKQA, you are passionate about using data to drive insights and optimisations that create better connections for consumers and improve bottom line business results. At our London office we need a data science leader who can take charge of key accounts, define the vision and roadmap for our clients, and successfully build the scope and team to support this vision.
You are an analytics expert with a client service/agency background and demonstrable experience of growing and managing a team. You should also have Fortune 500 marketing analytics experience. 
Key Responsibilities 
  • Data strategy: able to go from a client’s business goals to a complete measurement plan that defines the metrics, systems and methodologies needed to meet those goals. Able to communicate coherent strategies that tie all the technical details together into a business-impacting programme.
  • Thought leadership: an evangelist who knows the righteous truth of data and will ensure our clients and teams see the light. Experience of putting together presentations, speaking at conferences and original writing on data problems.
  • Client service: able to design successful data programs from start to finish – conception, selling, scoping and fulfilment. Willing to go the extra distance to ensure projects are a success, no matter what it takes.
Role Competencies 
  • Domain aptitude: mastery of relevant marketing analytics systems such as web analytics (Google Analytics, Omniture, WebTrends), programmatic marketing (Adwords, Marin, Google Bid Manager), CRM, Social and many others. Able to train new analysts to set up and configure these systems, and fully utilise them for insight and marketing success.
  • Software and technical knowledge: experience of visualisation programmes, to include (but not limited to) Tableau, advanced Excel, SQL databases and how to construct/use them. Robust knowledge of statistical software packages whether professional (SAS/SPSS) or open source (R, Python).
  • Industry expertise: ideally in major verticals such as financial services, telecommunications and technology, automotive or CPG.

Skills Required

  • Research
  • Data Analytics