Role Title: Finance & BI Analyst (Xero + SQL/Metabase) 

Schedule:

•  Full-time 40 hrs/week (Mon–Fri, with ≥2 hrs overlap 9 am–5 pm AEST)

• Sydney, Australia AEST

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About the Company

We are an Australian health-tech scale-up using continuous monitoring, behavioural science, and data-driven insights to help people improve their metabolic health. A subscription model and rapid growth mean finance accuracy and real-time metrics are mission-critical. As a fully remote team we value ownership, speed, and clear communication.

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Core Responsibilities

Basic Accounting / Bookkeeping (≈50 %)

• Record day-to-day transactions in Xero; upload, code, and file bills, receipts, and invoices.

• Perform daily bank, credit-card, and Stripe reconciliations.

• Assist with month-end close: prepare reconciliations, support BAS/GST filings, keep the chart of accounts tidy.

SQL & Analytics (≈40 %)

• Build and maintain Metabase dashboards and charts for finance, product, and marketing teams.

• Write efficient SQL queries (joins, CTEs, window functions) to surface revenue, cohort, and subscription KPIs.

• Validate data sources and troubleshoot query or model issues.

Process Improvement & Collaboration (≈10 %)

• Document repeatable finance and BI workflows.

• Suggest automation or reporting enhancements as the business scales.

• Work closely with the in-house Financial Accountant and cross-functional stakeholders to deliver ad-hoc insights.

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Minimum Requirements

• 1+ years hands-on bookkeeping or accounting 

• Working knowledge of Australian GST/BAS (or can learn and can ramp quickly).

• Proficient in SQL for analytical queries and data validation; experience building dashboards in Metabase (or Looker/Power BI/Tableau).

• Intermediate-to-advanced Excel/Google Sheets.

• High attention to detail, and reliable home-office setup  with daily overlap to AEST.

Nice to Have But not Required

• CPA (PH) or equivalent qualification.

• Experience with Stripe-heavy SaaS or subscription businesses.

• Familiarity with dbt, BigQuery, Redshift, or similar modern data stacks.