SaaS Data Analyst: Revenue Metrics & Definitions (Hybrid)

The Andersen Partnership; Sydney; Hybrid; AUD 90,000 - 120,000; Full time

Job summary

The Andersen Partnership in Sydney is seeking a Business Data Analyst on a 6-month fixed-term contract to anchor the metrics behind commercial reporting. You will document data definitions, own daily Stripe-based reporting, and ensure billing/CRM/product platforms reconcile while collaborating with Finance, Revenue Ops, CS and Engineering.

You will shape data definitions, build revenue models, and work with senior stakeholders to align definitions and business rules for an efficient data stack.

Qualifications

• Experience as a data analyst, FP&A analyst or revenue analyst in a subscription or SaaS business.
• Working fluency with SaaS commercial metrics — ARR, GRR, NRR, churn, contraction and expansion — including the judgement calls behind them, not just the formulas.
• Strong Excel and financial modelling skills.
• Practical exposure to billing and payments data, ideally Stripe.
• Experience writing data definitions or requirements documentation an engineer can build from without further interpretation.
• Confidence working directly with senior stakeholders across functions, and driving agreement where definitions are contested.

Responsibilities

• Designing and documenting a clean, auditable gross revenue retention (GRR) calculation
• Defining core data definitions and business rules to a standard the incoming Data Engineer can build from directly
• Building and maintaining budget and forecast models in Drivetrain
• Owning daily Stripe-based revenue and payments reporting
• Ensuring key systems (billing, CRM and product platforms) reconcile

Skills

Excel

Financial modelling

Data analysis

SaaS metrics knowledge

SQL

Tools

Drivetrain

Salesforce

NetSuite

Stripe

Job description

The Andersen Partnership in Sydney is seeking a Business Data Analyst on a 6-month fixed-term contract to anchor the metrics behind commercial reporting. You will document data definitions, own daily Stripe-based reporting, and ensure billing/CRM/product platforms reconcile while collaborating with Finance, Revenue Ops, CS and Engineering.

You will shape data definitions, build revenue models, and work with senior stakeholders to align definitions and business rules for an efficient data stack.