Marketing Data Analyst
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Responsibilities:
- 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 Mathematics, Statistics, Finance, Data Science, or a related field.
- 2+ years of experience in a data analysis role, working with large datasets to extract insights, build reports, and support business decisions.
- 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.
- Strong analytical skills, with the ability to interpret complex data sets and communicate clear insights.
- Meticulous when working with data to ensure accuracy and quality.
- Excellent verbal and written communication skills in English.
- Experience in marketing analytics, including analysing and optimising campaigns to improve customer retention and conversion.
- Hands-on experience with Google Analytics, Google Ads, Bing Ads, Meta Ads, Criteo, and various media buying platforms.
- Experience in the financial, fintech, or FX services industry.
Applicants must be eligible or have legal authorization to work in the country where the position is based.
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
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