Data Analyst - Finance

About the Role

Join our finance team as an analytical expert, building tools, models, and dashboards that transform our financial data into actionable insights. This role offers a rare opportunity to apply your skills in a fast-paced environment with significant commercial impact.

Responsibilities

• Build foundational reporting on revenue, spend, margin, and contribution.
• Design and maintain dashboards to track financial KPIs across the business.
• Reconcile financial and operational data between systems.
• Analyse campaign performance, customer behaviour, and cohort trends.
• Support board and investor reporting with timely and accurate data.
• Assist with variance analysis and financial insight generation.
• Develop models for forecasting, scenario planning, and headcount planning.
• Lead financial deep dives across LTV, CAC, channel performance, and unit economics.
• Collaborate with engineering to improve data flows and reduce manual reporting.
• Build budget tracking and self-serve tooling for department leads.
• Automate recurring reporting workflows using SQL, Python, or BI tools.
• Champion data integrity and drive adoption of finance analytics across teams.

Requirements

• 1–3 years of experience in a data, analytics, or finance-focused role.
• Confident in SQL, spreadsheets, and turning raw data into usable insight.
• Familiarity with financial concepts—revenue recognition, margin, opex/capex.
• Exposure to tools like Xero, Airbank, Shopify, or equivalent platforms.
• Strong attention to detail, with a bias toward automation and clarity.
• Self-starter who’s excited by fast feedback loops and real commercial impact.

Nice-to-Haves

• Experience with Looker, dbt, or scripting languages like Python.
• Experience with forecasting models or financial scenario planning.
• Startup or high-growth background.