Revenue Operations Analyst – Revenue Intelligence & Funnel Optimization

Revenue Operations Analyst

Remote | Part-Time or Full-Time

We are hiring a highly analytical Revenue Operations Analyst for a fast-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 strong 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.

Location: Remote - Australia, United States

Skills required for this job:

• Business intelligence (BI)
• Dashboard creation
• Data analysis
• Data cleaning
• Data reconciliation
• Funnel analytics
• KPI Reporting
• Revenue operations
• Revenue operations analysis
• Root-cause analysis
• SQL
• Sales operations
• Spreadsheet software