Founding Data Lead

🔥 13 hours ago

🇦🇺 Australia – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Skip Loans

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

💼 Consulting

🛡️ Insurance

💸 Finance

💰 Seed on 2023-01

Consulting • Insurance • Finance

<Skip Loans> is Skip Loans is an Australian, mission-driven non-bank home loan lender that specialises in low-deposit mortgages (including 2% deposit products) and loans up to 98% LVR. The company offers consumer-focused, digitally enabled mortgage products aimed at fast-tracking first-home buyers and young Australian families into homeownership, emphasising low fees, no lender’s mortgage insurance (LMI) in many cases, online calculators, pre-approvals, and fast approvals. Skip Loans holds an Australian Credit Licence and provides credit and credit assistance via online applications and borrower support.

📋 Description

• Own the end-to-end data stack, from ingesting raw source data into Snowflake through to clean, reconciled, business-ready models • Build and maintain pipelines for complete and fresh source data • Perform transformation, dimensional modelling, testing and documentation using a dbt-style staging → intermediate → marts approach • Establish and own metric definitions and a data dictionary • Build core dashboards and reporting for the business • Own board, warehouse-facility and regulator-facing reporting • Build toward a single source of truth and governed self-service data • Partner with Growth, Credit, Operations, Finance and Treasury teams and executives • Clarify business questions and turn analysis into concrete recommendations • Use AI and technology for mechanical work while verifying outputs and exercising judgement • Set data standards from scratch as the first dedicated data hire • Potentially build and lead the future data team

🎯 Requirements

• Typically 5+ years across analytics engineering, data analysis or BI • Experience owning a production data stack end to end • Experience with data pipelines feeding a warehouse • Experience with a tested, documented, version-controlled model layer • Strong data modelling discipline • Strong business-facing analysis skills • Ability to manage stakeholders and metric definitions • Ability to turn numbers into business decisions • Experience using AI deliberately and verifying outputs • Ability to communicate trade-offs clearly • Pragmatic judgement about fit-for-stage versus over-engineered solutions • Git and testing fundamentals • Australian working rights are required • Specific certifications and industry background are not required

🏖️ Benefits

• Equity through an ESOP • Competitive compensation • Opportunity to build and lead a data team • Full support from an internal product and engineering team • Modern data stack to shape (Fivetran, Snowflake, Hex) • Opportunity to work at the frontier of data and AI • High-impact role in a hyper-growth company • Supportive team environment