Remote | Part-Time or Full-Time

We are hiring a highly analytical Revenue Operations Analyst for a rapid-growing education company generating $10M+ annually.

Your role is to give leadership clear, reliable insight into the revenue engine by owning dashboards, scorecards, funnel reporting, data accuracy and performance analysis.

You will help track the full funnel:

Paid Ads → Leads → Setters → Bookings / HOT Transfers → Sales Conversations → Sales → Upsells → Cash Collected

What You’ll Do

- Build and maintain revenue dashboards and scorecards
- Track targets, actuals, variance and trends
- Analyze funnel conversion rates
- Identify bottlenecks, anomalies and revenue leakage
- Report performance by channel, department and team member
- Investigate why revenue or conversion rates change
- Reconcile data across CRM, payment and marketing systems
- Improve data accuracy and standardize KPI definitions
- Automate recurring reporting where possible
- Prepare weekly revenue insights for leadership

Key Metrics

You may work with:

- Ad spend, CPL, CAC and ROAS
- Leads, bookings and show rate
- HOT transfer performance
- Close rate and offer rate
- Revenue per call
- Cash collected
- Sales by closer
- Backend / upsell revenue
- Revenue by campaign and source
- Team member performance

What We’re Looking For

You should be solid in:

- RevOps, Sales Ops or Revenue Analytics
- Google Sheets and/or Excel
- Advanced formulas and pivot tables
- Dashboard creation
- Funnel analysis
- Data cleaning and reconciliation
- KPI reporting
- Root-cause analysis





Experience with tools such as GoHighLevel, HubSpot, Salesforce, Looker Studio, Power BI, Tableau, SQL, Zapier, Make, Meta Ads or payment processors is highly valuable.

You do not need experience with every tool. We care most about your ability to turn messy data into clear, accurate insights leadership can act on.

Ideal Candidate

You are:

- Highly analytical
- Detail-oriented
- Commercially minded
- Proactive
- Comfortable questioning numbers
- Strong at identifying inconsistencies
- Able to explain data simply to senior management

Schedule

Part-Time: approximately 20 hours per week
Full time: approximately 35–40 hours per week

Fully remote.

How to Apply

Please include:

- Your RevOps / analytics experience
- Tools you are strongest with
- Your availability
- Whether you prefer part-time or full-time
- Your expected hourly rate or compensation

Pay: $46.00 – $56.00 per hour

Expected hours: 20.0 – 40.0 per week

Application Question(s):

- Revenue dropped 20% month over month. Walk us through exactly how you would diagnose the cause.
- Tell us about a time you found a data inconsistency or reporting error that materially affected how a team understood performance. What did you find, how did you validate it, and what did you change?
- If leadership gave you 10 different KPIs across marketing, setters and sales, how would you decide which 3–5 metrics deserve the most attention each week?

Experience:

- Revenue Operations Analyst: 4 years (Required)

Work Location: Remote

📌 Revenue Operations Analyst (Australia)
🏢 Ecom Warrior Academy
📍 Australia