Marketing Data Analyst

The Marketing Data Analyst at GoTymeBank is responsible for translating customer and marketing data into actionable insights that drive acquisition, engagement, and retention strategies.

This role serves as a critical bridge between marketing, product, and data teams, ensuring that business decisions are guided by clear customer intelligence, data-driven insights, and measurable performance outcomes.

Required Experience and Qualification

• 3 to 5 years' experience in marketing analytics, customer insights, or data analysis
• Experience analysing customer behaviour in digital or product driven businesses
• Strong experience with marketing performance measurement and reporting
• Bachelor’s degree in Marketing, Statistics, Mathematics, Data Science, Economics, Business Analytics, or a related field

Skills and Competencies

• Strong analytical thinking and problem solving
• Advanced Excel or Google Sheets
• Experience in AWS and or Databricks
• Experience with BI tools (Power BI, Tableau, Looker or similar)
• Experience working with large datasets and customer databases
• Understanding of marketing funnels and customer lifecycle metrics
• Ability to translate complex data into clear insights for non technical stakeholders
• Strong AI learning agility and intellectual curiosity
• Openness to adopting new technologies, including AI tools relevant to the role
• Ability to apply AI or automation solutions to improve efficiency and decision-making
• Proficiency in SQL (joins, window functions, CTEs) for querying and transforming data
• Python for data preparation, analysis, and automation
• Understanding of ETL/ELT concepts and data modelling basics
• Version control and documentation hygiene

Nice to have:

• Experience with a Customer Data Platform (e.g., Segment) and event tracking governance
• Familiarity with CLM tooling and campaign platforms
• Exposure to MoEngage or similar orchestration and marketing automation tools
• Relevant certifications in BI, analytics, or data engineering advantageous

Responsibilities:

• Customer Data Analysis

• Analyse customer behaviour across digital platforms, campaigns, and product usage
• Identify trends in acquisition, retention, churn, and engagement
• Develop customer segmentation models to support targeted marketing initiatives
• Monitor customer lifecycle performance and highlight opportunities for growth
  
  

Marketing Performance Analytics

• Measure and report on campaign effectiveness across digital and offline channels
• Track KPIs such as CAC (Customer Acquisition Cost), CLV (Customer Lifetime Value), conversion rates, engagement rates, and ROI
• Identify optimisation opportunities for marketing campaigns
• Build dashboards and reports that support ongoing performance monitoring
  
  

Insights and Strategic Support

• Translate data into actionable insights for marketing, product, and commercial teams
• Support the development of marketing strategies through evidence based insights
• Conduct A/B test analysis and performance benchmarking
• Contribute to customer growth and retention strategies
  
  

Data Management and Reporting

• Work with internal data teams to ensure accuracy and integrity of marketing data
• Build automated dashboards and performance reporting systems
• Maintain consistent tracking frameworks across marketing channels