Marketing Data Analyst

• Design, implement, and maintain reporting frameworks to monitor marketing operations and performance.
  
• Conduct in-depth data analysis to uncover opportunities for growth and cost efficiencies.
  
• Evaluate marketing-business metrics and provide ROI analysis for marketing campaigns.
  
• Analyse large datasets and deliver actionable recommendations to support marketing objectives.
  
• Develop user demographics, behaviour insights, and segmentation strategies for optimised targeting.
  
• Build and maintain marketing dashboards for tracking KPIs and campaign performance.
  
• Collaborate with marketing teams to identify data needs and deliver insightful solutions.
  
• Plan and analyse A/B tests to improve key marketing KPIs.
  
• Transform complex marketing questions into quantifiable metrics and insights.
  
• Utilise product usage data to develop predictive customer retention models.
  
• Conduct customer lifetime value analysis and spending benchmarks.
  
• Measure and analyse the impact of segmentation and targeting strategies.
  
• Continuously drive improvements in data sources, predictive analytics, and automation processes.
  

Requirements

• ​BS/MSc in Marketing, Mathematics, Statistics, Finance, Data Science, or a related field.
  
• 3+ experience in analysing and optimising email remarketing campaigns to improve customer retention and conversion rates.
  
• Experience in the financial, fintech, or FX services industry is an advantage.
  
• Advanced knowledge of Microsoft Excel (a must) and proficiency in data visualisation tools like Power BI or Tableau.
  
• Advanced skills in SQL and knowledge of Python for data analysis.
  
• Hands-on experience with Google Analytics, Google Ads, Bing Ads, Meta Ads, Criteo, and various media buying platforms.
  
• Strong ability to analyse marketing performance, interpret complex data sets, and provide clear insights.
  
• Meticulous when working with data to ensure accuracy and quality.
  
• Ability to manage multiple tasks, prioritise workload, and work efficiently under pressure.
  
• Excellent verbal and written communication skills in English.
  
• Eagerness for ongoing professional development and upskilling in marketing analytics.
  

Benefits

• Hybrid Work Model (2 days working from home)
  
• Wolt Meal Allowance
  
• Comprehensive Health Insurance
  
• Provident Fund (Upon completion of the trial period)
  
• Summer Short Fridays (August)
  
• Additional Paid Annual Leave (up to 30 days, based on years of service)
  
• Birthday Leave
  
• Udemy Business access
  
• Gym Membership
  
• Referral Bonus Program
  

• Visa Sponsorship and Relocation Assistance