Senior Data Analyst
SafetyCulture
full-time
Posted on:
Location Type: Hybrid
Location: Sydney • Australia
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Job Level
About the role
- 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
- 5-8 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.
Benefits
- Catered lunches
- Team events
- Cool merch
- Dogs in the office
- Equity for every full-time team member
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonRdata analysisdashboard creationreportingmetric definitiondata governanceautomationstatistical analysis
Soft Skills
communicationstakeholder influenceanalytical thinkingproblem framingdecision-makingcollaborationadaptabilityattention to detailcritical thinkingorganizational skills