Lead Data Analyst - Marketing

Easygo Gaming

Melbourne, Australia
On-site
Marketing analytics experience
Sql and python expertise
Data modelling/analytics engineering
This newly-created, hands-on leadership role will be part of the Business Intelligence Team, working closely with Marketing, Product, and Data Engineering to deliver actionable insights on live campaigns, customer lifecycle optimisation, and growth initiatives

Job Summary

  • This newly-created, hands-on leadership role will be part of the Business Intelligence Team, working closely with Marketing, Product, and Data Engineering to deliver actionable insights on live campaigns, customer lifecycle optimisation, and growth initiatives.
  • You will lead the development of data-driven solutions, experimentation frameworks, and advanced analytics capabilities to enable smarter, faster marketing decisions, while also building scalable data foundations and providing technical leadership.
  • Easygo Gaming offers a vibrant work environment with perks like in-house baristas, daily catered breakfast, extensive learning and development opportunities, and exclusive access to major sporting and music events.

Matching Summary

This newly-created, hands-on leadership role will be part of the Business Intelligence Team, working closely with Marketing, Product, and Data Engineering to deliver actionable insights on live campaigns, customer lifecycle optimisation, and growth initiatives.

Skills & Requirements

Must-have

  • Marketing analytics experience
  • SQL and Python expertise
  • Data modelling/analytics engineering
  • Modern data platforms experience
  • Data pipelines and architecture understanding
  • Stakeholder communication and influence

Nice-to-have

  • Self-service analytics experience
  • Gaming or high-scale consumer platforms
  • Experimentation and A/B testing
  • Event tracking and product analytics tools

Key Requirements

  • Experience mentoring or leading a team
  • Strong SQL and Python skills
  • Proven data modelling/analytics engineering
  • Experience with modern data platforms
  • Solid understanding of data pipelines/architecture
  • Strong analytical thinking
  • Excellent stakeholder communication

Work Rights

Not specified

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