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Senior Marketing Analyst

  • Data Analytics
  • Maidenhead
  • Permanent
  • £40,001-£60,000
  • About the role

    Senior Marketing Analyst


    Kentish Town

    MBN's client, a leading gaming company is in search for a number of Senior Marketing Analysts to join an established data team.

    Job Description

    • Supporting marketing performance team to measure ROI on marketing spend and optimise performance, measuring marketing efficiencies and supporting analysis on bonus management
    • Translates behavioural and transactional data into key insights and business deliverables.
    • To deliver proactive insights, and find frictions points and areas of opportunities 
    • Apply statistical techniques on large datasets to:
      • Measure results and show key trends
      • Identify causal impact and attribution
      • Analyse experiments
    • Model and predict future performance of prospects, customers, products, or services
    • Interpret the suite of daily, weekly and monthly dashboards to identify key areas for deeper dive analysis, and pro-actively provide insight on underlying trends and drivers
    • Provide data driven answers to business questions on promotional effectiveness and marketing initiatives
    • Create weekly and monthly actionable summaries of key trends and drivers across the digital operation, that go deeper than dashboard reports
    • Carry out deep dive analyses on our customers and their activity, and elicit key trends to communicate to marketers and product owners
    • Build visualizations and dashboards that deliver actionable insights in a self- service manner (tell stories with data)
    • Forming close working relationships with relevant stakeholders (Marketing and commercial teams) to provide proactive analysis and support business decisions


    • Degree in mathematics, statistics, data science modelling, business or economics (or similar)
    • Ability to create high level presentations of analytical work
    • Ability to translate complex analysis for non-technical audiences
    • Strong quantitative analytical skills are essential as is proficiency within SQL (other languages an advantage)
    • Basic foundation in modelling (e.g. cluster analysis, decision trees, regression, propensity modelling, Bayesian)
    • Experience in data visualization tools, with skills in PowerBI preferable
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