Lead Data Insights Specialist

4 weeks ago


Sydney, New South Wales, Australia Hipages Full time
About hipages

We are a pioneering Australian tech company, listed on the ASX. Our platform connects homeowners and tradies for all home improvement needs. Driven by our purpose of transforming the trade industry, we empower 350-strong teams across Australia, New Zealand, the Philippines, and Vietnam.

We've created one of the best workplaces in technology in Australia, certified as a Great Place to Work. We win numerous awards for innovative approaches to team engagement and wellbeing. As a leader in Diversity, Equality, and Belonging, we're endorsed by Work180 for advancing women's careers. Our diverse cultures, age spans, and sexual orientations make us proud.

Benefits
  • Competitive salary, benefits, and perks, plus equity via our Employee Share Program
  • Work from home with a hybrid working model
  • In-house Talent Development team supports personal career growth and plans for promotions
  • Dynamic team approach evolves practices and directly engages customers
  • Take ownership of work and drive real change as a market leader
Your Role

As a Lead Data Analyst, you'll generate data-driven insights and identify business opportunities for functional and cross-functional teams. You'll collaborate closely with the senior leadership team and data team to plan, prioritise, and deliver immense value to the business.

You'll define the direction of the hipages marketplace, applying your experience to find the best customer experience.

Key Responsibilities
  1. Identify commercialisation opportunities and develop business cases where relevant
  2. Advise on hypothesis-driven testing setup and direct testing from conception to conclusion
  3. Select, acquire, and integrate structured data from disparate sources for actionable insights
  4. Oversee data analysts and run code reviews to support and coach team members
  5. Collaborate with data engineers to productionise data assets
  6. Build econometric and statistical models for various business problems using projections, classification, clustering, pattern analysis, and data mining
  7. Develop data quality and governance within the organisation
  8. Research and recommend analytical methods and approaches for wider adoption across the business
  9. Contribute to open-source data projects, whitepapers, and research papers
  10. Contribute to and advance analytics policy, standards, frameworks, testing methodology, and guidelines within the data team
About You
  • Degree qualified in Computer Science, Statistics, Mathematics, or a related field
  • Experience in applying statistical and modelling techniques to real-world data to drive insights


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