M

Data Analyst

Mable

Remote · Full Time

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Experience
1–2 yrs
Salary
Openings
1
Posted
10 小时前
Work mode
Work from home
Resume
Required to apply

Job description

About Mable and Attain Healthtech Group

Mable is part of the Attain Healthtech Group, including HomeMade, Leap in!, and Mable Direct. These entities share a commitment to creating lasting, positive impacts across the care and support industry by enhancing standards, connecting more lives, and innovating through technology to improve customer outcomes.

Position Overview

As a Data & Insights Analyst at Mable, a leading Australian healthtech platform, you will collaborate across teams to analyze data, uncover meaningful insights, and contribute to decisions that create smarter, people-centered services. Your role will involve building dashboards, conducting in-depth data analysis, and supporting stakeholders in understanding business performance and opportunities.

Key Responsibilities

  • Develop and maintain clear, dependable dashboards primarily utilizing SQL and Tableau to monitor essential performance metrics.
  • Investigate and interpret data to assist teams in understanding operational trends and underlying causes.
  • Work alongside product managers, operations personnel, and stakeholders to identify opportunities and guide decision-making processes.
  • Analyze problems comprehensively and communicate findings effectively to support actionable outcomes.
  • Create new reports and enhance existing ones to empower operational teams to access self-service insights.
  • Stay informed on product and business updates to evaluate data impacts regarding features and processes.
  • Adhere to company privacy and security guidelines in all analyses.
  • Contribute to a collaborative analytics culture by sharing feedback and learning from colleagues.

Candidate Profile

  • 1 to 2 years of experience in data analysis, demonstrating a history of delivering practical insights.
  • Proficiency in SQL, with the ability to transform and organize data effectively.
  • Experience using Tableau or comparable data visualization tools to develop accessible and insightful dashboards.
  • Strong communication skills to explain technical data concepts to non-technical audiences.
  • A problem solver comfortable navigating ambiguous or complex challenges.
  • Capability to collaborate across different teams and influence decisions without direct authority.

Additional Assets

  • Python experience, notably PySpark, and familiarity with Databricks.
  • Involvement with machine learning projects or collaboration with data scientists.
  • Knowledge of Git or experience using version control systems in data projects.

Company Culture and Values

Mable values being Switched On by learning from customers and community engagement, Bold in creativity and ambition, One in fostering a collaborative and diverse environment, and Impactful by innovating to make significant sector changes. Shared values with Attain Healthtech include breaking new ground, putting people first, and owning outcomes to achieve lasting results.

Employee Benefits

  • Career growth through mentorship and hands-on opportunities.
  • Generous parental leave benefits including 14 weeks paid leave for primary carers and 6 weeks for secondary carers, plus superannuation.
  • Hybrid work arrangements offering a balance of remote and office presence.
  • Additional paid flex leave days—one extra day per quarter to pursue personal interests.
  • A floating public holiday to personally acknowledge important days with loved ones.
  • Recognition programs to celebrate achievements and motivate performance.

Diversity and Inclusion

Mable fosters an inclusive environment welcoming applicants from all backgrounds, including Aboriginal and Torres Strait Islander peoples. The company encourages candidates who feel underqualified to apply, valuing diverse experiences and perspectives.

Use of AI in Recruitment

Artificial intelligence tools may assist in the recruitment process by reviewing applications and analyzing data to identify inconsistencies or verify information. However, hiring decisions are made by humans. Candidates can request information about data processing practices.

Work styles they’re looking for

Communication Adaptability Problem Solving Collaboration Data Storytelling

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