Senior Data Analyst (12-month contract)

Job description

Hi! We’re hipages, an ASX-listed tech company and Australia’s #1 digital platform connecting households with trusted home improvement businesses. We're on a mission to transform the home improvement industry to build better lives for everyone. With teams across Australia, New Zealand, the Philippines and Vietnam, we work as one team with a shared purpose. We’re proud to be a certified Great Place to Work and WORK180’s #1 Employer for Women . At hipages, you’ll find real impact, career growth and a workplace where everyone belongs. About the role: This is a 12-month parental leave contract. As a Senior Data Analyst, you’ll help the organisation make better decisions with data. You’ll work closely with the data team and your insights will feed directly into hipages’ commercial strategy. You’ll help shape the hipages marketplace as it evolves, using your experience to improve things for our customers. You’ll also join a supportive, highly skilled data team whose skills cover everything from engineering to machine learning, where people share what they know and celebrate each other’s wins. You’ll work with colleagues across the business on reporting, insights and analytics for a range of projects, from channel performance to segmentation. Why join our Data team? 💻 Hybrid working with 2 days WFH, so you can fit work around the rest of your life 🪴 An in-house Talent Development team focused on your personal and career growth 💰 Competitive salary, benefits and perks 🤝 A collaborative culture working with Product, Engineering, Marketing and Commercial teams 🧑‍🏫 Hands-on learning, workshops and mentoring to keep growing your skills ♀️ Women make up 50% of our Data team, so you’ll be joining a balanced team where your voice is heard How you’ll add value: Build a framework for sharing insights with the business and recommending product improvements Analyse data, trends and results, and explain their business impact to stakeholders Explore the acquisition funnel to find insights and opportunities that grow jobs and tradie numbers Give teams the data they need to shape use cases and requirements Help grow our user base by supporting segmentation strategies for a more personalised customer experience Design, run and measure feature experiments About you: Data analytics experience in an e-commerce or technology company Experience working with enterprise data warehou…