We’re a global tech company,  just not the kind you’re picturing.

 

Sure, we’ve got catered lunches, team events, cool merch, and yes... dogs in the office. But that’s not why people join.

 

Our team of nearly a thousand people wakes up every day to make our product and our customers’ lives better. At SafetyCulture, you’ll hear “yes, let’s give it a shot” more often than “that’s not how we do things here.”

 

People join because we’re building tools that make work better for the 3 billion people who keep the world moving - factory floor operators, baggage handlers, truck drivers, servers, store assistants. The ones who make things happen.

 

We’ve got the scale and innovation you’d expect from big tech. The difference? No endless layers of sign-off. No corporate theatre. Just smart, experienced people solving real problems fast .

 

The scale is big. But the ownership’s personal. Every full-time team member gets equity - real skin in the game. When we grow, you do too. We’re not perfect, no company is. But this next chapter of our growth is about scaling with intelligence, not just size - fueled by operational maturity, a clear vision, and a strong focus on AI. 

 

This is big tech impact, without the big tech ick. If that excites you more than it scares you, you’ll fit right in.

 

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.

 

What will you do?

• 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.

What you'll bring?

• 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.