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RevOps Analyst

Job in Seattle, King County, Washington, 98113, USA
Listing for: PSL
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Mining
Job Description & How to Apply Below
Rev Ops Analyst

Location:

Remote

Reports to:

CFO

About the Role

We're looking for a systems-minded Rev Ops Analyst to serve as the analytical backbone of Single File's go-to-market organization. This role is critical to improving forecasting accuracy, pipeline visibility, data quality, and GTM performance insights across Sales, Marketing, and Customer Success.

You will own the entire revenue operations function from the ground up-not just maintain dashboards, but diagnose problems, recommend improvements, and influence how our revenue engine operates.

What You'll Do

Revenue Insights & Systems Thinking

* Build and maintain dashboards and reports across the sales funnel (MQL → SQL → Opportunity → Closed Won)

* Diagnose and solve revenue challenges using data-understand why conversion drops at specific stages, how compensation changes impact velocity, what drives forecast misses

* Proactively surface revenue insights (not just respond to asks) "Here's a pipeline coverage problem emerging and here's how to fix it"

* Deliver monthly revenue insights and strategic recommendations to Sales, Marketing, and Success leadership

Forecasting & Variance Analysis

* Own the forecasting workflow end-to-end: design the process, support monthly forecasting cycles, conduct variance analysis (forecast vs. actuals)

* Identify why forecasts miss and recommend improvements to increase accuracy (90%+ target)

* Support board reporting and executive-level forecasting conversations

Data Quality & Hygiene

* Audit CRM regularly to identify data quality issues and gaps

* Document data standards and best practices; train Sales and Marketing teams on proper CRM usage

* Build Hub Spot workflows and automation to prevent bad data from entering the system

* Drive adoption of data hygiene practices cross-functionally

Process Optimization & Standardization

* Document and standardize sales processes (qualification criteria, pipeline stages, deal progression)

* Identify inefficiencies in the revenue lifecycle and recommend improvements

* Track compensation model impact on sales performance and outcomes

Systems & CRM Ownership

* Own Hub Spot configuration and optimization (custom properties, lifecycle stages, workflows, automation, integrations)

* Partner with leadership on systems improvements and tooling decisions

What We're Looking For

Must-Have Experience

* 5-7 years in Revenue Operations, Sales Operations, Business Operations, or similar analytical GTM role (with demonstrated ownership of pipeline reporting, forecasting, or process optimization)

* Deep Hub Spot expertise:
Custom properties, workflow automation, lifecycle stage design, reporting/dashboards, integrations. You should be able to customize Hub Spot without consulting the knowledge base

* Advanced Excel / Google Sheets skills (pivot tables, complex formulas, scenario modeling)

* Proven ability to improve forecast accuracy and pipeline visibility

* Strong analytical and problem-solving skills; ability to explain variance and diagnose root causes

* Excellent communication skills; ability to translate data insights into clear, actionable recommendations for non-technical stakeholders

Nice to Have

* Experience with BI tools (Looker, Tableau, Power BI)

* SQL knowledge (even read-only queries)

* Experience in a high-growth SaaS environment (Series A-C)

* Familiarity with compensation models and impact analysis

* Experience with marketing automation platforms (Hub Spot Marketing Hub, Marketo, etc.)

Mindset & Traits

* Systems thinker:
Naturally understands how revenue operations connect-pipeline flow, process optimization, data quality

* Proactive problem-solver:
Surfaces issues and recommends solutions without waiting for asks

* Process-oriented:
Naturally documents workflows, identifies inefficiencies, builds standards

* Collaborator:
Comfortable working cross-functionally with Sales, Marketing, and CS teams; able to influence without authority
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