Hidden Job Board
Consumer Goods
FinanceBI&DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Finance BI & Data Engineer at Hidden Job Board. Skills: Data engineering, BI reporting, ML/AI, Financial forecasting. Design data models. Build semantic layers”
What You'll Achieve.
Create Single Source of Truth; Systematically eliminate debt; Accelerate leadership decisions
Industry & Context.
Systems thinking; Spotting bottlenecks; Challenging legacy habits; Challenging ad-hoc reporting
What They're Looking For.
Must Have
Platform and data infrastructure experience, Scoping, tracking, and executing end-to-end data pipelines, Tool implementations or systems-level transformation roadmaps, Data architecture experience, Data modeling experience, Semantic layers experience, Custom integration layers experience, Practical AI/ML tools utilization, Predictive modeling workflows utilization
Nice to Have
Snowflake experience, NetSuite Planning and Budgeting module experience, BI tool ecosystem experience
What You'll Do.
Build semantic layers
Embed self-service reporting layer
Eliminate capability debt
Eliminate manual reconciliation
Build profitability attribution engine
Deploy applied ML/AI techniques
Accelerate capital allocation decisions
Engineer Financial Single Source of Truth
Build real-time reporting layer
Map P&L attribution model
Prototype predictive AI tools
Deploy ML/AI for cash forecasting
Deploy ML/AI for P&L forecasting
Deploy ML/AI for scenario modeling
Deploy ML/AI for anomaly detection
Evaluate core tooling
Lead technical evaluation
Assess NetSuite Planning and Budgeting module
Assess BI tool ecosystem
Establish auditable reconciliation frameworks
Codify sustainable documentation
How You'll Work.
Team & Collaboration
Commercial squads; Supply Chain squads; FP&A team; Finance requirements; Data engineering standards; Non-technical business leaders
Communication Scope
Board reporting; Executive reporting
Process & Methodology
Roadmap planning
Full Job Description
Not all heroes wear capes — but plenty of them use toilet paper Want to challenge yourself at a purpose-led scale up AND make a difference in the world? Come join the revolootion! Funny name, serious business We make eco-friendly products and donate 50% of our profits to provide clean water and help build toilets for the billions of people who lack proper access. So far, we’ve contributed over $18 million AUD (roughly $12.5 million USD) to fund sanitation projects around the globe. Basically, we’re really good at doing good. With hubs in Australia, the Philippines, China, the US, UK and Europe, our amazing team of 200+ work to make the biggest possible impact for people and the planet. Over the next couple of years, we’re hoping to increase our annual donation tenfold to get us closer to our dream of everyone in the world having access to clean water and sanitation services. A bit about the role We are looking for a Finance BI and Data Engineer for a 12-month contract to act as the technical engine behind the transformation of our Finance function from standard data outputs to true value creation. Sitting within our Number Scrunchers / FP&A team and reporting to the Head of FP&A, you will design, build, and embed a real-time, self-service reporting layer that becomes our Single Source of Truth for 3-way financials. Your mission is to systematically eliminate capability debt and manual reconciliation. By building an advanced profitability attribution engine and deploying applied ML/AI techniques for automated forecasting, you will directly accelerate our leadership team's ability to make high-impact, confident capital allocation decisions. If you worked here this past month here are some things you might have been involved in: Engineering a Financial Single Source of Truth: Designing intuitive data models and semantic layers in Snowflake to build a real-time, self-service 3-way reporting layer for our Board and Executive team. Building a Profitability Engine: Partner
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