SafetyCulture
Technology
FinanceAnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Finance Analytics Engineer at SafetyCulture. Skills: Finance data domain, dbt models, Semantic layer. Build Finance semantic layer. Own Finance semantic layer”
Industry & Context.
Finding answers; Navigating ambiguity
What They're Looking For.
Must Have
5+ years Finance collaboration, dbt skills required
Nice to Have
Experience with Finance team, Experience with Accounting team, Experience with Finance Systems team, NetSuite familiarity, Workday familiarity, Zuora familiarity, HiBob familiarity, ERP platforms familiarity, Payroll platforms familiarity, Billing platforms familiarity, Financial close processes exposure, Revenue recognition exposure, Period-end reporting cycles exposure, Owning dbt stack slice, Building AI-ready semantic layers, High-growth SaaS environment background
What You'll Do.
Build Finance semantic layer
Own Finance semantic layer
Apply software engineering best practices
Ensure model descriptions
Ensure column definitions
Ensure metric ownership
Version intentionally
Use SQL for data loading
Use Python for data loading
Use Macro for data loading
Use SQL for transformation
Use Python for transformation
Use Macro for transformation
Understand business rules
Encode business rules
Translate Finance requirements
Validate outputs against benchmarks
Design access control
Implement access control
Define permission tiers
Manage service accounts
Partner with Engineering
Implement data quality checks
Maintain documentation
Partner with Data Engineering
Manage data infrastructure
Optimize data infrastructure
Consume shared dimension tables
Make semantic layer queryable
Make semantic layer reliable
How You'll Work.
Team & Collaboration
Finance stakeholders; Analytics Engineering teams; Data Engineering teams; IT; Engineering
Communication Scope
Translate business requirements
Process & Methodology
Version control, CI/CD deployment
Full Job Description
## Description Why join us? 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 Role SafetyCulture's Finance function is building an AI-powered operating model, automating the mechanical, repeatable work across FP&A, Treasury, Accounting, Tax, AR, AP, Legal operations, and beyond so the team can focus on judgement, analysis, and the decisions that move the business. We're looking for a Finance Analytics Engineer to own the data foundation that makes this possible. Where our Data Engineering team ensures data flows reliably into Redshift, you turn those raw sources into a trustworthy, governed, AI-ready Finance semantic layer that Finance workflows and AI agents can build on. That means owning the dbt transformation layer for all Finance source systems,
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