Senior Data Analyst at Hipages

Engineering, Sydney sydney engineering analytics
Posted a month ago

hi, we’re hipages Group.

We create effortless solutions that help tradies streamline and grow their businesses and delight their customers. Over 3 million Australians have used the hipages platform, where a home improvement job is posted every 20 seconds. 

How you will make an impact:

Joining our Marketplace Growth team as a Senior Data Analyst, you will be responsible for generating data driven insights and identifying business opportunities. You will work closely with the Senior Leadership and Data teams to plan, prioritise, and deliver immense value to the business, by influencing product design and advancing our marketing effectiveness. 

You will be influential in defining the direction of the hipages marketplace as we continue to evolve and apply your experience to find the best experience for our customers. But most importantly, you’ll be joining a top-notch data team!

How you will add value:

  • Advise on the required setup hypothesis-driven testing and direct test from conception to conclusion.
  • Select, acquire and integrate structured data from disparate sources required to deliver actionable insights.
  • Build econometric and statistical models for various business problems leaning on your toolbox of projections, classification, clustering, pattern analysis and data mining.
  • Democratise data access and share insights across the team and department
  • Assist in prioritisation of team initiatives by providing opportunity sizing
  • Contribute to growing our user base by designing and delivering on segmentation strategies to build a customised consumer experience.

About You:

  • Requirements :
    • Degree qualified in Computer Science, Statistics, Mathematics or a related qualification 
    • 5+ years experience applying statistical / modelling techniques to real world data to drive insights
    • Experience in data analytics with a lense on SaaS Product Analysis/Development (A/B testing, causal impact analysis)
    • Knowledge of, experience with and ability to use the tools, processes and practices for predicting business trends and providing forecasts that drive business decisions and business planning
    • Knowledge of and ability to utilise tools, techniques and processes for gathering and reporting data in a particular department or division of a company.
    • Prior experience as a Marketing Analyst or Product Analyst would be advantageous
  • Technical Experience: 
    • Proficient to query databases using advanced queries in SQL (Athena, Mysql) and advanced analytics using Python/R 
    • Experience with AWS technologies (Redshift, Athena, S3, Sagemaker) 

Take a look inside our home:

  • A close-knit diverse family of bright, respectful, collaborative members who love to solve problems and jump on new opportunities;
  • High-touch personalised investment in your continuous career development;
  • Agile cross-functional teams who value teamwork - from Hackathon to team off-sites, to Product roadshows, you get to experience it all;
  • Competitive salary and benefits, plus equity via our Employee Share Program, we’re all owners of hipages and other great perks such as 14 weeks paid parental leave;
  • Daily bottomless continental breakfast, fresh fruit and snacks;
  • Inspiring office and location - based in the heart of Sydney CBD, only a few steps from Town Hall Station;
  • Remote work and flexible work (50/50) hybrid model;
  • Social connection focus: Friday socials, company parties and teaming activities - the best in town!

Sounds like you're home? Apply Now!

Innovation & Collaboration: are two important core values at hipages which both cannot be achieved successfully without a diverse and inclusive team. We don't expect you to be an expert in all areas and we are more interested in learning about you as a person, a team member and a leader. 

Research shows that while men apply for jobs when they meet an average of 60% of the criteria, women and other minority groups tend to only apply when they check every box. So if you don't tick every single box above, but you think you would be a great fit for the role we encourage you to apply, we would LOVE to hear from you!