Analyst, Revenue Operations

TL;DR

Analyst, Revenue Operations (Excel/Salesforce): Build and maintain revenue operations models and analyses that give GTM leadership visibility into post-deal performance, with an accent on churn cohort analysis, forecast accuracy tracking, and sales productivity metrics. Focus on constructing forecasting and retention logic from raw CRM data, diagnosing root causes of retention/forecast issues, and producing executive-ready reporting with clear metric definitions and data-quality accountability.

Location: Remote (Canada)

Salary: $115K–$124K USD per year; $96K–$110K CAD

Company

hirify.global powers auto-related decisions using proprietary data, advanced analytics, and workflows that connect insight to action.

What you will do

• Build and maintain renewal and retention reporting, including churn cohort analysis, renewal pipeline health, at-risk account identification, and root-cause analysis.
• Build and maintain forecast accuracy tracking models (submitted forecast vs. actual closed-won) by segment, product, rep cohort, and period, including root-cause and historical pattern analysis.
• Maintain forecasting input quality reporting (submission completeness, required field adherence, and commit/upside/pipeline category distribution).
• Support sales productivity reporting (quota attainment, ramp curves, win rates, sales cycle length, average contract value, and pipeline-to-close conversion).
• Maintain capacity and coverage models for AOP planning and in-year reforecasting using headcount, ramp, and productivity inputs.
• Partner with RevOps systems/data teams to identify data quality issues, reconcile data across Salesforce/CS platforms/Finance, and document metric logic and report definitions.

Requirements

• Location: Must be based in Canada (Remote Canada)
• 2–4 years of experience in Revenue Operations, FP&A, Business/Financial Analytics, Customer Success Operations, or a closely related analytical role in a B2B SaaS or data-driven environment.
• Advanced Excel skills for financial modeling and cohort/forecast logic built from raw data (not just dashboarding).
• Experience with SaaS revenue metrics and the ability to explain them clearly (ARR, GRR, NRR, pipeline coverage, forecast accuracy, win rate, churn cohorts, renewal rate, customer health scoring).
• Hands-on Salesforce reporting experience, including building reports/dashboards and troubleshooting CRM-level data quality issues.
• Proven ability to deliver accurate recurring and ad-hoc analyses under time pressure (weekly/monthly packages and fast-turnaround requests).

Nice to have

• Experience with BI tools such as Power BI (secondary to Excel modeling strength).
• Familiarity with Sales/CS platform reporting (e.g., Gong, Gainsight).
• Exposure to revenue forecasting or pipeline intelligence platforms (e.g., Clari, Aviso).
• Experience preparing board-level/executive reporting in a B2B SaaS environment.
• Basic understanding of SaaS revenue recognition and how bookings relate to recognized revenue.

Culture & Benefits

• High-visibility, high-impact role supporting Sales, Customer Success, and Finance across the full GTM organization.
• Recurring reporting cadence with clear expectations for accuracy, documentation, and proactive communication of delays/uncertainty.
• Data-grounded environment emphasizing trust, collaboration, and making decisions with analytics.
• Opportunity to expand ownership into post-sales analytics and CS Ops as the function scales.

Hiring process

• Interviews focused on revenue operations analytics, Excel modeling approach, and Salesforce reporting/data-quality troubleshooting.
• Discussion of experience delivering recurring and ad-hoc reporting under time pressure, including how metric definitions and limitations are communicated.