Data Analyst at LUMI MORTGAGE PTE LTD

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

15 Oct, 26

Salary

0.0

Posted On

17 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Hypothesis-Driven Analysis, Experimental Design, Statistical Interpretation, SQL, dbt, Databricks, Data Analysis, Stakeholder Management, Communication Skills, Financial Services Knowledge

Industry

Financial Services

Description

Company Description We’re a leading Fintech small business lender fuelling growth by making finance more accessible. We deliver fast & flexible funding designed to meet the unique needs of Australian businesses. With over $1.5 billion funded since 2018 and backing for 15,000+ small businesses, we're trusted for our speed, high quality service, and tailored approach. We are building a culture where you can grow and make a difference for customers. We are looking for people to join us on this journey who are passionate, curious and great problem-solvers. We are incredibly proud of our awards, including most recently our Deputy CEO, Anna Hawter, receiving the Finnies’ 2025 Outstanding FinTech Leader of the Year award. We also ranked in the top #3 on the 2024 Australian Financial Review BOSS Best Places to Work Banking, Superannuation and Financial Services list, 2023 Best Workplace Diversity Award by FinTech Australia and the 2022 Empowering Innovation Affie Award. We also ranked #36 among the fastest-growing technology companies in Australia in the 2022 Deloitte Technology Fast 50 Australia. We foster a workplace where everyone feels a sense of respect and can reach their full potential. If you need any adjustments for a fair recruitment process, please let us know when applying. Job Description 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 — going beyond what point-in-time AI querying can provide Build a track record of shipped analyses that demonstrably changed a decision or a team's understanding — not just dashboards or ad hoc fact-finding 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 Qualifications Strong grounding in hypothesis-driven analysis, experimental design, and statistical interpretation — able to identify when a result is significant, spurious, or simply under-specified Experience partnering with business or product stakeholders on ambiguous, open-ended questions tied to real initiatives, not just servicing report requests Comfort working with SQL and a governed semantic/data layer (e.g. dbt, Databricks) to self-serve rather than depending on engineering for every data pull A builder's instinct for compounding knowledge — documenting reasoning and findings so insight persists and accumulates, rather than being re-derived each time 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 Additional Information Our Values Egos at the door We own. We don’t judge. We don’t blame. We are open. We are in this together. See the customer We show up. We understand. We anticipate. We do what we say. We genuinely focus on solutions. Think lean We make things simple. We are resourceful. We understand the problem. We think ahead. Learn to grow We are curious. We challenge. We try. We fail forward. We learn. We try again. Our Perks Wellbeing: Free counselling, seasonal activities, Wellbeing Allowance, wellness room, flu shots Work Life: Home Workspace Allowance, Purchased Leave, Parental Leave, Parental Flex Leave, Lumi Life Leave for challenging events, breastfeeding/expressing space Social & Food: Monthly lunches, regular celebrations, stocked kitchen, beer & kombucha on tap, board games, rooftop BBQs Rewards & Recognition: Competitive pay, referral bonuses, shout-out recognitions Community Support: Paid volunteer leave, celebrations, company volunteer days Career & Growth: Rapid advancement opportunities, higher education sponsorship, hackathons

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Responsibilities

Partner with business and product teams to design sound analyses and interpret results using statistical rigor. Drive an experimentation mindset by framing decisions as testable hypotheses and delivering actionable recommendations.