What you’ll do
- Build and maintain intuitive, reliable dashboards (primarily using SQL and Tableau) that track performance across key metrics.
- Dive into data to help teams across Mable understand what’s happening—and why.
- Partner with product managers, operations, and other stakeholders to explore opportunities and inform decisions.
- Identify and solve real-world problems through structured analysis and compelling storytelling.
- Design new reports and uplift existing ones, helping operations teams move toward self-service insights.
- Stay close to product and business developments, outlining data implications for new features and processes.
- Ensure all analysis aligns with Mable’s privacy and security policies.
- Contribute to a collaborative, feedback-rich analytics culture, learning from your peers!
About you
- You’ve got 1–2 years experience in data analysis with a track record of delivering actionable insights.
- You’re fluent in SQL and comfortable transforming and structuring data to get what you need.
- You know your way around Tableau or a similar data viz tool and can build beautiful, useful dashboards.
- You can explain technical concepts clearly to non-technical stakeholders—whether in a meeting or a slide deck.
- You love solving messy problems and thrive in ambiguity.
- You enjoy working cross-functionally and understand how to influence without authority.
Bonus points if you have
- Experience with Python (especially PySpark) and familiarity with Databricks.
- Exposure to machine learning projects or working closely with data scientists.
- Git knowledge or experience with version control in a data context.
Skills Required
- 1-2 years experience in data analysis
- Fluent in SQL
- Experience building dashboards in Tableau or a similar data visualization tool
- Ability to transform and structure data for analysis
- Ability to explain technical concepts clearly to non-technical stakeholders
- Experience working cross-functionally and influencing without authority
- Familiarity with privacy and security policies in data analysis
- Experience with Python (especially PySpark)
- Familiarity with Databricks
- Exposure to machine learning projects or collaboration with data scientists
- Knowledge of Git or version control in a data context
What We Do
Mable is a health-tech platform where people looking for disability and aged care support connect with independent support workers in their community. As one of Australia’s fastest-growing scale-ups, we think big to spearhead change in our sector. We're passionate about inclusivity and giving choice and control back to those who need it. Mable launched in 2014 when co-founder Peter Scutt teamed up with friend and colleague Tony Charara after struggling to find the right home care solution for his parents. Today, Australia’s largest and most diverse community of independent support workers has provided over 13 million hours of support on Mable so everyone can live their kind of independence. #mykindofindependence







