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Full time
Technology

Data Analyst

MableMelbourne, Victoria🇦🇺AustraliaPosted 14 Jul 2026

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

About the role

As an Analyst, Data & Insights, you won't just crunch numbers-you'll partner with teams across the business to uncover insights, solve problems, and help shape smarter, more human-centered services. We're looking for someone who's curious, collaborative, and confident with data. Whether you're building dashboards, deep-diving into a business challenge, or spotting opportunities in a sea of data, your work will drive real change for real people.

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
  • 1-2 years experience in data analysis with a track record of delivering actionable insights.
  • Fluent in SQL and comfortable transforming and structuring data to get what you need.
  • Know your way around Tableau or a similar data visualisation tool and can build beautiful, useful dashboards.
  • Can explain technical concepts clearly to non-technical stakeholders-whether in a meeting or a slide deck.
  • Love solving messy problems and thrive in ambiguity.
  • 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.
Benefits
  • 14 weeks of paid parental leave for primary carers and 6 weeks for secondary carers, plus superannuation.
  • Hybrid workplace with flexible work arrangements.
  • One extra paid leave day per quarter.
  • Floating public holiday to acknowledge a significant day.
  • Reward and Recognition program celebrating wins and recognising great performance.
EEO statement

We are one. We celebrate our diversity and welcome all people, regardless of family responsibilities, ethnicity, faith, sexual orientation, or gender identity. Aboriginal and Torres Strait Islander people are encouraged to apply.

Skills

SQL
Machine Learning
Tableau
Databricks
Git
Python

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