Strategic Analyst, Revenue Operations

Accountabilities

• • Generate strategic insights: Partner with Revenue Operations leadership to identify growth opportunities, churn risks, operational bottlenecks, and other factors affecting the lead-to-revenue lifecycle.
  • Translate business needs into analytics: Convert complex business questions into analytical frameworks, models, and actionable recommendations.
  • Build revenue data models: Query large-scale datasets using advanced SQL and develop robust models in Snowflake or comparable data platforms that establish reliable sources of truth for revenue metrics.
  • Manage data pipelines: Contribute to ETL/ELT development, data pipeline management, and the structuring of datasets for scalable, long-term use.
  • Ensure data integrity: Maintain strong data hygiene across the revenue technology stack, identify discrepancies between systems, and coordinate their resolution.
  • Deliver rapid analysis: Use Google Sheets, Excel, pivot tables, and financial modeling techniques to respond quickly to ad-hoc analytical requests and validate data.
  • Develop executive dashboards: Design, maintain, and improve sophisticated dashboards and visualizations in Looker and Domo, making complex information intuitive and actionable.
  • Support strategic planning: Provide data-backed recommendations on territory planning, quota setting, marketing attribution, and other revenue optimization initiatives.
  • Collaborate cross-functionally: Act as a strategic analytics consultant to leaders and teams across Sales, Marketing, Customer Success, Product, Operations, and Data Engineering.
  • Communicate insights effectively: Present technical findings and analytical recommendations clearly and persuasively to non-technical stakeholders and senior leadership.
  • Support strategic initiatives: Work with Revenue Operations and Analytics leadership on high-priority initiatives that improve business performance, efficiency, and predictability.

  Requirements

  • 5–7+ years of experience in strategic consulting, business analytics, revenue operations analytics, or a related analytical discipline.
  • Advanced SQL skills and experience working with relational databases such as Snowflake, Redshift, Oracle, or SQL Server.
  • Strong experience with ETL/ELT development and data pipeline management.
  • Proven ability to build data models and structure complex datasets for reliable, scalable, long-term use.
  • Experience with Looker, including LookML preferred, and Domo for advanced data visualization and executive reporting.
  • Strong data visualization and dashboarding skills, with the ability to create compelling stories from complex datasets.
  • Proficiency in at least one scripting or programming language such as Python, JavaScript, Java, or Scala.
  • Advanced spreadsheet capabilities, including Excel and Google Sheets, with strong proficiency in pivot tables and analytical modeling.
  • Solid understanding of data governance, data quality, and analytical best practices.
  • Strong attention to detail and ability to reconcile complex datasets while maintaining a high standard of accuracy.
  • Strategic thinker who can connect individual data points and analytical findings to broader business objectives.
  • Excellent communication skills, with the ability to translate technical concepts into clear business recommendations.
  • Self-starter with strong problem-solving skills and the ability to work independently in a fast-paced, cross-functional environment.
  • Comfortable collaborating with senior stakeholders and technical teams across Product, Sales, Operations, Data Engineering, and Revenue Operations.

  Benefits

  • Annual salary: $95,000–$115,000 CAD, depending on experience, skills, qualifications, and other relevant factors.
  • Remote work opportunity with locations available in the United States and Canada.
  • Medical, dental, and vision benefits with employer HSA contributions and FSA options for eligible U.S. employees.
  • Immediately vested 401(k) for U.S. employees or RRSP for Canadian employees, with company matching.
  • Paid vacation, personal, and sick time.
  • Paid maternity and paternity leave for eligible U.S. employees.
  • Employer-paid short-term disability, long-term disability, life insurance, and AD&D coverage for eligible U.S. employees.
  • Robust Employee Assistance Program.
  • Employer-paid volunteer day.
  • Tuition reimbursement for eligible programs.
  • Opportunities to expand your technical and strategic skill set within a global, publicly traded organization.
  • Culture focused on internal promotions, diverse career paths, and meaningful professional advancement.
  • Opportunity to work on high-impact revenue analytics initiatives spanning Sales, Marketing, Customer Success, Product, and Operations.