Senior Marketing Analyst (SQL, Python) - Global Media Tech

Location London
Discipline: Media & Marketing
Salary: £125k to £130k basic
Contact name: Dan Butterworth

Contact email: dan@principlehr.com
Job ref: 3734
Published: about 23 hours ago
  • The role: Senior Marketing Analyst (SQL, Python) – Global Media Tech
  • Location: Hybrid based in Central London – 3 days a week onsite
  • Contract: 11 months (to start ASAP – max 4 weeks notice) – strong poss. of extension
  • Salary: £125k to £130k basic + benefits (PAYE, paid weekly, within IR35)
You MUST be fully clear to work in the UK with no relocation/visa requirements

The role:
  • Develop and implement cross-platform and cross-media measurement approaches and learning agendas for global clients.   
  • Conduct in-depth ad effectiveness studies to evaluate the impact of different marketing strategies across digital platforms and media.   
  • Drive client adoption of learning and measurement methodologies, products, and approaches.   
  • Engage in client conversations, present results, and provide data-driven insights to advise on marketing best practices.   
  • Collaborate with sales, product, R&D, and partnerships teams to identify opportunities for new features and products.   

About you:
  • You’ll have at least 8+ years of relevant experience in marketing science, MarTech industry; with proven experience in research, analytics, or ad effectiveness.   
  • You’ll have in-depth SQL skills (for connecting business problems with solutions), alongside strong Python / R experience
  • You’ll have excellent client handling and relationship-building skills; as well as strong cross-functional team experience 
  • You’ll possess a solid understanding of digital advertising and digital marketing measurement.   

Good to Have:
  • A background within BigTech / global marketing infrastructure (TikTok, Google, Apple, Meta, Pinterest, Netflix, Snapchat etc)
  • Experience with statistical analysis, including experimental design, modelling, and advertising research.   
  • Experience in setting up experiments and interpreting data.   

What to do now?
Apply now with your latest CV