Marketing Data & Analytics Manager

Location: Sydney CBD, New South Wales
Contract Type: Permanent
Specialisation: Technology & Digital
Salary: AU$120000.00 - AU$140000.00 per annum + + super
REF: BBBH238999_1575933345

An established start up Fintech company is seeking a Marketing Data & Analytics Manager to lead the development and delivery of the Marketing Data and Analytics strategy, including; data collection, storage, processing and visualisation.

Key Accountabilities:

Strategy Development:

  • Develop a roadmap for data & analytics infrastructure to support our marketing & customer experience capabilities

Data Management/Technology:

  • Developing and managing a Marketing Data Warehouse including:
  • Technology selection
  • Developing schemas and data models
  • Understanding of ETL processes
  • Integrate various 1st & 3rd party data sets
  • Big Data warehousing (Redshift/BigQuery)
  • SnowPlow (front-end)


  • Developing reporting in collaboration with an analyst(s) to provide near-real time insight on business performance
  • Ongoing maintenance of reporting infrastructure to support business decision making


  • Developing sophisticated analytics approaches to provide greater insight into customer behaviour and end-to-end process optimisation

Your Experience and Capability:

  • 5+ years' experience in various data & analytics disciplines working in a mixture of environments including agency/consulting, client side organisations or vendors delivering end-to-end data and analytics solutions that support strategic & operational decision making with a particular focus on marketing & sales ecosystems.
  • Solid understanding of customer & business analytics
  • Experience with web and marketing analytics technology
  • Experience developing data & analytics capabilities from the ground up
  • Excellent stakeholder management skills
  • Knowledge of marketing technology ecosystem and vendors
  • Exceptional attention to detail
  • Experience with AWS, SQL, Google Analytics & ETL processes required
  • Nice to have: Python, R, Machine Learning & Data Science capabilities
  • Degree qualified in STEM discipline desired