Senior Manager, Revenue Operations & Analytics
What you will be doing at VGS (Responsibilities)... 1. Revenue Intelligence & Reporting (The "What")
Own and maintain the tracking of company, client, and product metrics and KPIs.
Leverage AI to build out business and client performance and insights from the VGS data.
Run daily billable usage analysis to proactively flag revenue anomalies before they become billing disputes.
Translate complex data sets into actionable narratives for the leadership team.
2. Data & Systems Architecture (The "How")
Partner with our Data Engineers to manage and optimize the flow of data through Fivetran, Salesforce, and Sigma .
Act as the bridge to Engineering: Translate business requirements into technical specs and navigate data backfills or pipeline failures without losing context.
Directly manage Salesforce hygiene and the implementation of outbound/growth tools like Clay.ai .
3. Commercial Forensic Operations (The "Why")
Investigate the "weeds": Troubleshoot and investigate line item analysis to resolve client issues or provide additional insights.
Own the billing feedback loop: Flag overages, advise Account Managers on contested invoices, and ensure our billing logic matches our legal commitments
What we are looking for from you (Requirements)... 5+ years in RevOps, Sales Ops, or Data Analytics
Expert Level: Salesforce (Admin preferred) and Sigma (or similar BI like Looker/Tableau).
Experience with Data pipelines is a massive plus. You are comfortable writing SQL and investigating data pipelines, even if you aren't a full-time dev.
Experience with billing and usage based models
You enjoy being the person who links Sales, Finance, and Engineering.
You have the confidence to "hold the line" on a billing dispute because you've done the data legwork to prove your case.
You believe a visualization is only as good as the SQL behind it. You look for context and "data smell" before hitting 'refresh'.
Data Driven You are curious, wanting to understand the underlying drivers to the data story.
5+ years in RevOps, Sales Ops, or Data Analytics
Expert Level: Salesforce (Admin preferred) and Sigma (or similar BI like Looker/Tableau).
Experience with Data pipelines is a massive plus. You are comfortable writing SQL and investigating data pipelines, even if you aren't a full-time dev.
Experience with billing and usage based models
You enjoy being the person who links Sales, Finance, and Engineering.
You have the confidence to "hold the line" on a billing dispute because you've done the data legwork to prove your case.
You believe a visualization is only as good as the SQL behind it. You look for context and "data smell" before hitting 'refresh'.
Data Driven You are curious, wanting to understand the underlying drivers to the data story.
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