Data Analyst

About the Company

Mable is part of the Attain Healthtech Group, alongside HomeMade, Leap In! and Mable Direct. These entities share a mission to foster transformative, positive impact across the care and support sector, leveraging technology to empower better outcomes for customers.

Mable is one of Australia's leading and rapidly expanding healthtech platforms, connecting people with disabilities and older Australians to independent support workers chosen on their terms. Since 2014, Mable has facilitated over 25 million hours of support and has earned accolades including listing on the AFR's Top 100 and Deloitte Tech Fast 50, plus awards for exceptional growth and innovation.

Role Overview

The Analyst, Data & Insights role involves partnering broadly with teams to analyze data and uncover meaningful insights that enhance business decision-making and improve human-centered services. The position focuses on building and maintaining data dashboards primarily using SQL and Tableau, supporting stakeholders with analytics, and presenting findings effectively.

Key Responsibilities

• Develop and sustain intuitive, dependable dashboards tracking critical performance metrics using SQL and Tableau.
• Analyze data to provide clarity on operational status and root causes across the organization.
• Collaborate with product managers, operations, and other stakeholders to identify opportunities and support data-driven decisions.
• Tackle real-world business challenges through detailed analysis and storytelling.
• Design new reports and enhance existing ones to promote self-service analytics capabilities for operations teams.
• Remain informed about product and business changes to assess data implications for new features and procedures.
• Ensure all analytics practices comply with Mable’s privacy and security standards.
• Foster a collaborative culture of feedback and continuous learning within the analytics team.

Candidate Profile

• 1 to 2 years of experience in data analysis, proven to deliver practical insights.
• Proficient in SQL with ability to manipulate and structure data effectively.
• Experienced with Tableau or equivalent visualization tools to create impactful dashboards.
• Capable of communicating complex technical concepts in an accessible manner to non-technical audiences.
• Enjoys problem-solving in ambiguous and fluid environments.
• Strong interpersonal skills enabling influence across teams without formal authority.

Preferred Qualifications

• Familiarity with Python, especially PySpark, and experience with Databricks platform.
• Exposure to machine learning projects or collaboration with data science teams.
• Knowledge of Git or experience with version control in a data-focused context.

Organizational Values and Culture

Mable emphasizes purpose-driven work principles:
• Switched On: Deep customer understanding and sector engagement.
• Bold: Creativity and ambition to reshape the care industry.
• One: Valuing diversity and teamwork.
• Impactful: Focus on innovation and meaningful change.

The Attain Healthtech Group also upholds values such as breaking new ground through innovative ideas, making significant impact by centering people, and owning outcomes by striving for excellence and lasting results.

Benefits

• Opportunities for professional growth with mentorship from industry experts and dynamic leaders.
• Parental leave offering 14 weeks paid leave for primary carers and 6 weeks for secondary carers along with superannuation contributions.
• Flexible working arrangements combining remote and in-office periods.
• Quarterly additional paid leave days for personal well-being and pursuits.
• Floating public holidays to celebrate significant personal moments with loved ones.
• Recognition programs to celebrate achievements and stellar performance.

Diversity & Inclusion

The company champions inclusivity and celebrates diversity in all forms including family status, ethnicity, faith, sexual orientation, and gender identity. Aboriginal and Torres Strait Islander people are actively encouraged to apply. Candidates who do not fulfill every qualification but bring diverse experiences are welcomed and encouraged to submit applications.

Recruitment Process Note

Artificial intelligence tools may assist in reviewing applications to identify inconsistencies or validate information, but final decisions remain under human discretion. Inquiries about data usage in recruitment are welcome.