Revenue Operations Analyst at The Sauce BPO | Torre

Revenue Operations Analyst

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Part-time

Legal agreement: Employment

Compensation
USD33 - 40/hour
Negotiable
location_on
Remote (for Australia residents)
Remote (for United States residents)
Remote (for Canada residents)
Remote (for Philippines residents)
Posted 20 days ago

Responsibilities


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.
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