Revenue Operations Analyst

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About the role

  • Revenue Operations Analyst supporting GTM reporting, forecasting, and data quality for AppDirect’s B2B SaaS commerce platforms. Building models, dashboards, and leadership insights across Sales, CS, Marketing, and Finance.

Responsibilities

  • Build and maintain dashboards, models, and reports for pipeline/bookings reviews, forecast calls, QBRs, and board updates
  • Handle ad-hoc data requests from Sales, Customer Success, Marketing, and Finance, delivering accurate, documented, actionable analysis
  • Support operational models for forecasting, pipeline coverage, capacity and quota planning, territory analysis, and scenario planning using Google Sheets and BI tools
  • Use Salesforce, PlanHat, and adjacent GTM tools to build reports, pull and validate data, and identify data-integrity issues
  • Monitor and report on pipeline generation and conversion, win rates, bookings, churn and retention, and attainment metrics
  • Investigate and flag data-quality issues during the Deal Desk process and partner with systems and GTM teams to resolve them at the source
  • Translate analysis into concise narratives and visuals for senior leadership and explain methodology and recommendations

Requirements

  • 3+ years of experience in revenue operations, sales/GTM operations, financial analysis, business analytics, or a closely related analytical role in B2B SaaS
  • A bachelor’s degree in mathematics, statistics, economics, finance, or a similar field
  • Genuine power user of Google Sheets or Excel, including complex formulas, pivots, lookups, and building and maintaining models from scratch
  • Experience collecting and analyzing quantitative and qualitative data
  • Working knowledge of Salesforce (SFDC) and PlanHat as an advanced user, including building reports and dashboards and pulling and validating data
  • Understanding of GTM data flows through related systems
  • Experience preparing analysis and reporting for QBRs, board decks, or forecasts
  • Excellent written and verbal communication skills
  • Strong attention to detail and accuracy
  • Comfort with BI/reporting tools such as Looker, Domo, or similar
  • SQL experience to pull data from BigQuery is a strong plus
  • Ability to prioritize competing requests, adapt in a fast-paced environment, and work independently
  • Ability to challenge assumptions and conclusions with data while supporting final decisions

Benefits

  • Performance-based bonuses may be available to regular employees
  • Full range of benefits
  • Inclusive workplace environment
  • AI-assisted recruitment under human oversight
  • Remote work (indicated by #LI-Remote)

Job type

Full Time

Experience level

Mid levelSenior

Salary

CA$80,000 - CA$120,000 per year

Degree requirement

Bachelor's Degree

Tech skills

BigQuerySFDCSQL

Location requirements

RemoteCanada

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