Marketing Data Analyst

Overview

Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.

At Axi, data drives decisions. We’re hiring a Marketing Data Analyst to design and maintain data infrastructure, analyze metrics, and enable smart business choices across marketing, product, and finance.

What You’ll Do

Tracking Implementation & QA (40-50%)

• Draft technical specifications for event tracking implementations across web and mobile platforms
• Create detailed implementation tickets for development teams and review their work
• QA event implementations: validate event names, properties, schemas, and funnel logic
• Monitor and troubleshoot Segment CDP data flows, sources, and destinations
• Maintain event taxonomy and tracking documentation
  
  

• Build and maintain dashboards in Looker Studio based on BigQuery data
• Validate reverse ETL calculations and data accuracy for marketing automation systems
• Execute daily health checks on data pipelines (dormant user detection, reactivation logic, cohort analysis)
• Monitor data quality across attribution systems (Facebook Ads, Google Ads, AppsFlyer)
• Troubleshoot data discrepancies and anomalies in marketing and product analytics
  
  

• Document existing tracking implementations and create technical specifications
• Maintain runbooks for data validation and monitoring procedures
• Collaborate with Marketing, Product, and Development teams to define tracking requirements
• Support implementation of new analytics features and measurement frameworks
  
  

• Proficient in SQL, Python and JavaScript
• Experience with Pandas/NumPy; familiarity with funnel analysis and marketing attribution.
• Excellent analytical thinking, structured reasoning, and problem-solving mindset.
• Proactive self-starter with strong attention to detail.
• Highly organized, able to work under tight deadlines.
• Degree in Science or Mathematics—strong academic performance required.
• Fluent in English, with clear communication skills.
  
  

• BI/reporting experience in iGaming, insurance, e-commerce, or online casino industries.
• Experience with BI tools (Tableau, Looker, Power BI).
  
  

• Competitive compensation
• Training, development resources, and certification opportunities
• 18 annual leave days + 12 sick days
• Local public holidays
• Health insurance benefits
  
  

• Talent Acquisition Screen (30 mins)
• Technical Interview with BI/Product (60 mins)
• Hiring Manager Interview (30 mins)