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Data Analyst II

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SafetyCulture

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Location:
Australia , Sydney

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

The Data Analyst II delivers timely, accurate, and actionable insights that enable decisions across Finance, Operations, and Leadership. They play a key role in supporting business areas with limited analytical coverage—particularly the expanding needs of the Customer Success organisation—while increasingly contributing to larger cross-functional analytics projects that drive company-wide impact.

Job Responsibility:

  • Partner with business stakeholders to understand challenges and translate them into analytical questions with measurable outcomes, ensuring alignment to business goals
  • Build and maintain dashboards, reports, and models that surface key SaaS metrics (e.g., ARR, MAU, seat growth, churn, pipeline creation) to inform planning and performance management
  • Conduct deep-dive analyses to identify trends, user behaviour patterns, and growth opportunities across the customer journey, from acquisition to expansion and retention
  • Collaborate with Analytics Engineers and Data Engineers to ensure data models are accurate, scalable, and accessible for downstream analysis and self-serve use
  • Contribute to metric definitions, documentation, and governance to maintain consistency and clarity across the organisation
  • Automate recurring analyses and reporting to improve speed, reliability, and reproducibility of insights
  • Communicate findings clearly to both technical and non-technical audiences, connecting insights directly to business impact and recommended actions
  • Continuously refine analytical methods, tools, and processes to enhance the quality and speed of decision-making

Requirements:

  • 3–5 years of experience in analytics or a similar role, ideally in a high-growth SaaS environment
  • Strong SQL skills and proficiency with a modern BI tool (e.g., Looker, Tableau, Power BI) to build reliable, scalable dashboards and reports
  • Experience working with SaaS and go-to-market datasets and metrics (ARR, churn, pipeline, seats, activation, engagement)
  • Ability to frame ambiguous business problems into clear analytical approaches, define success metrics, and measure outcomes
  • Proficiency with at least one scripting or statistical language (e.g., Python or R) for analysis, automation, and experimentation
  • Strong communication skills with a track record of influencing stakeholders and enabling data-driven decisions
  • Familiarity with data documentation, metric governance, and version control (e.g., Git) to ensure reproducibility and consistency
What we offer:
  • catered lunches
  • team events
  • cool merch
  • dogs in the office
  • equity for full-time team members

Additional Information:

Job Posted:
January 02, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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