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About the Role
Partner directly with business and product initiatives to frame questions, design analyses, and interpret results with statistical rigour. Apply hypothesis-driven thinking to test assumptions and build contextual knowledge of the business. Drive adoption of an experimentation mindset across teams and own delivery of analyses from framing through to recommendation.
Responsibilities
- Partner directly with business and product initiatives (e.g. Broker Quoting Tool, Embedded Finance) to frame the right questions, design sound analyses, and interpret results with appropriate statistical rigour
- Apply hypothesis-driven thinking to test assumptions, systematically rule out alternative explanations, and build cumulative, contextual knowledge of the business over time
- Build a track record of shipped analyses that demonstrably changed a decision or a team's understanding
- Drive adoption of an experimentation mindset across teams: framing decisions as testable hypotheses, tracking outcomes, and building an evidence base that compounds across initiatives rather than resetting with each request
- Own delivery of hypothesis-driven analyses from framing through to recommendation, partnering with Data Engineering to consume the governed semantic layer rather than duplicating data prep
- Work closely with the Data Architecture & Strategy Lead to prioritise analytical focus against the team's active strategic initiatives
Requirements
- Strong grounding in hypothesis-driven analysis, experimental design, and statistical interpretation
- Experience partnering with business or product stakeholders on ambiguous, open-ended questions tied to real initiatives
- Comfort working with SQL and a governed semantic/data layer (e.g. dbt, Databricks) to self-serve
- A builder's instinct for compounding knowledge — documenting reasoning and findings so insight persists and accumulates
- Strong communication skills to translate analysis into a clear recommendation and a case for action, for both technical and non-technical audiences
- Experience in fintech, lending, or financial services highly regarded
Skills
- SQL
- dbt
- Databricks
- Statistical interpretation
- Experimental design
- Hypothesis-driven analysis
- Communication
Location
- Australia
Work Type
- Full-time
Experience Level
- Mid-level
Benefits
- Free counselling
- Seasonal activities
- Wellbeing Allowance
- Wellness room
- Flu shots
- Home Workspace Allowance
- Purchased Leave
- Parental Leave
- Parental Flex Leave
- Lumi Life Leave for challenging events
- Breastfeeding/expressing space
- Monthly lunches
- Regular celebrations
- Stocked kitchen
- Beer & kombucha on tap
- Board games
- Rooftop BBQs
- Competitive pay
- Referral bonuses
- Shout-out recognitions
- Paid volunteer leave
- Company volunteer days
- Rapid advancement opportunities
- Higher education sponsorship
- Hackathons
About the Company
- Leading Fintech small business lender fuelling growth by making finance more accessible.
- Deliver fast & flexible funding designed to meet the unique needs of Australian businesses.
- Have funded over $1.5 billion since 2018 and backed 15,000+ small businesses.
- Trusted for speed, high quality service, and tailored approach.
- Building a culture where you can grow and make a difference for customers.
- Looking for people who are passionate, curious and great problem-solvers.
- Awarded Finnies’ 2025 Outstanding FinTech Leader of the Year.
- Ranked in the top #3 on the 2024 Australian Financial Review BOSS Best Places to Work Banking, Superannuation and Financial Services list.
- Awarded 2023 Best Workplace Diversity Award by FinTech Australia.
- Awarded 2022 Empowering Innovation Affie Award.
- Ranked #36 among the fastest-growing technology companies in Australia in the 2022 Deloitte Technology Fast 50 Australia.
- Foster a workplace where everyone feels a sense of respect and can reach their full potential.
Equal Opportunity
- If you need any adjustments for a fair recruitment process, please let us know when applying.