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Marketing Analyst; EMEA

Job in City Of London, Central London, Greater London, England, UK
Listing for: Career Moves Group
Full Time position
Listed on 2026-04-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Mining
Salary/Wage Range or Industry Benchmark: 48.08 GBP Hourly GBP 48.08 HOUR
Job Description & How to Apply Below
Position: Marketing Analyst (EMEA)
Location: City Of London

Marketing Analyst (EMEA)

ICONIC GLOBAL TECH BRAND

Contract Duration: 6 Months

Rate: £48.08 per hour (PAYE)

Location:

London (Hybrid – Tues–Thurs in office, Mon & Fri remote)

Working Hours:

Standard business hours

Team: EMEA Regional Marketing Analytics (London-based core team with EU satellites)

The client is seeking a highly technical

Marketing Analystto support

EMEA-wide marketing strategy and performance analysis for a large-scale

B2C consumer product portfolio. This role sits at the intersection ofdata analytics, experimentation, and strategic decision-making, with a strong emphasis oncausal analysis, measurement rigor, and business impact. You will partner closely with senior marketing, product, and regional stakeholders to shape campaign strategy through data, improve reporting quality, and drive incremental growth across EMEA. This isnot a social or content marketing role—it is a deeply analytical, data-driven position focused on performance measurement and experimentation.

Key Responsibilities Marketing Performance & Growth Analytics
  • Analyse and evaluate marketing campaign performance across EMEA, identifying drivers of success and opportunities for incremental growth.
  • Develop a clear framework for measuring incremental impact, moving beyond correlation to causation.
  • Support consumer app and product usage data analysis to connect marketing activity with downstream user behaviour.
Experimentation & Statistical Rigor
  • Design, analyse, and interpret A/B tests and experiments across marketing initiatives.
  • Apply strong statistical knowledge to distinguish correlation vs. causation and assess true business impact.
  • Partner with stakeholders to define success metrics and experimental frameworks upfront.
Data & Technical Excellence
  • Deliver advanced analysis using SQL, Client Analytics / Firebase, and ideally Python.
  • Architect and maintain dashboards, reporting frameworks, and metrics that improve clarity, consistency, and decision-making.
  • Respond to ad-hoc analytical requests from senior stakeholders with speed, rigor, and clear recommendations.
Strategy & Stakeholder Management
  • Collaborate cross-functionally with marketing, product, and analytics partners across multiple European markets.
  • Translate complex data into clear insights and compelling narratives for senior leadership.
  • Act as a trusted advisor, helping stakeholders make data-informed decisions in ambiguous environments.
AI & Automation
  • Actively use AI tools and agents to enhance personal workflows and automate repetitive analytical and reporting tasks.
  • Identify opportunities to scale and improve efficiency through automation.
Culture & Ways of Working
  • Contribute to an inclusive, psychologically safe team environment.
  • Demonstrate sound judgment, professionalism, and accountability in line with company values.
  • Operate effectively within a large, distributed regional team structure.
Required Skills & Experience Essential
  • 5–10 years’ experience in marketing analytics, business analytics, or a similar data-heavy role.
  • Strong experience in marketing performance measurement for B2C products.
  • Advanced SQL skills.
  • Hands‑on experience with Client Analytics and/or Firebase.
  • Strong foundation in statistics and experimental design.
  • Proven experience running and interpreting A/B tests in a marketing context.
  • Excellent stakeholder management and communication skills.
  • Demonstrated use of AI tools to improve analytical workflows.
Desirable
  • Python for data analysis and automation.
  • Experience analysing consumer app or digital product data.
  • Exposure to workflow automation using AI agents or similar tooling.
  • Experience operating in large, matrixed, international teams.
Core Competencies
  • Statistical analysis & data judgment
  • Marketing and growth analytics
  • Experimental design
  • Technical acumen
  • Storytelling with data
  • Dashboarding & reporting improvement
  • Consultative and strategic thinking
  • Project and stakeholder management
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