Senior Revenue Operations Analyst

Kenect•Pleasant Grove, UT

About The Position

As a Senior Revenue Operations Analyst at Kenect, you'll own the strategic and analytical engine behind our go-to-market motion. This is a true RevOps role you'll design and manage the processes, reporting, and insights that keep Sales and Marketing aligned, from territory design to pipeline health and forecasting. You'll be a builder — but on the data and strategy side. That means owning dashboards, data models, and the analytical infrastructure that drives decisions. A dedicated Salesforce systems team handles workflows, automation builds, and platform administration; your job is to shape the strategy behind those systems and own the reporting and insights that come out of them. We're not looking for a pure analyst who reports on the business, and we're not looking for a pure technician who builds in a vacuum. We need someone who has lived in RevOps, understands the nuance of what actually drives revenue, has the technical chops to build and maintain the infrastructure that supports it — and the ability to sit in a leadership meeting and tell the room something they don't already know.

Requirements

4–6 years of hands-on Revenue Operations or Sales Operations experience in a B2B SaaS or tech environment — you've owned RevOps processes, not just supported them.
Deep understanding of the go-to-market motion: you've worked through territory design, pipeline management, and forecasting and can do it again here without a playbook.
Proven BI skills — you've built dashboards and data models that executives rely on, in Power BI, Tableau, Looker, or a comparable platform. Power BI is what we use; strong skills in any serious BI tool with the ability to get up to speed quickly is what we're after.
Working command of Salesforce as a data and reporting layer — you know how objects, fields, and relationships work, and you've built reports and analyzed data out of Salesforce directly.
Solid SQL skills: you can write queries, troubleshoot data integrity issues, and connect sources without needing someone to do it for you.
Strong business judgment — you connect analytical findings to revenue outcomes, and you're as comfortable presenting a recommendation to the VP of Sales as you are building the model behind it.
Self-directed and organized under ambiguity — this role owns its domain end to end, and we need someone who drives clarity rather than waiting for it.
Excellent communicator across technical and non-technical audiences; able to earn trust quickly with both data teammates and Sales leadership.
Genuine AI fluency — you've used AI tools to actually build things, not just summarize emails. You're comfortable identifying where automation can remove friction and then doing something about it.

Responsibilities

Lead core RevOps functions including territory design and sales process optimization — translating strategy into operational frameworks the team can execute against.
Own pipeline health and forecast analysis: surface trends, identify risks, and bring a clear point of view to Sales and Marketing leadership — not just data, but recommendations.
Partner cross-functionally with Sales, Marketing, and Finance to align on metrics definitions, reporting standards, and the go-to-market processes that sit between teams.
Build and maintain dashboards and reports across Power BI and Salesforce — owning accuracy, usability, and the data models underneath them.
Work directly in Salesforce on the reporting and analytics layer: pulling data, validating it, and ensuring what leadership sees reflects reality. The systems team owns the backend builds — you'll guide the strategic thinking behind them and own the output.
Write SQL queries to connect, transform, and validate data across systems — supporting both day-to-day reporting needs and deeper analytical work.
Develop executive-ready presentations and narrative summaries that communicate findings clearly to non-technical stakeholders, including the C-suite.
Identify and build AI-powered automations that remove friction across the sales org — from intelligent workflows and data enrichment to tools that help reps spend more time selling and less time on everything else.
Document processes, metrics definitions, and reporting structures so the business isn't dependent on one person to explain how anything works.