Revenue Operations Data Analyst

Accountabilities:

• • Own the accuracy, cleanliness, and integrity of GTM data across Salesforce and connected systems, identifying data quality issues, closing gaps, and preventing recurring problems.
  • Define and maintain data hygiene standards, field definitions, governance processes, and documentation to establish a trusted source of truth across the organization.
  • Build and maintain reusable data models, datasets, and pipelines that enable consistent and scalable reporting.
  • Design, develop, and maintain dashboards and reports using Power BI, Tableau, or comparable business intelligence tools for Sales and executive stakeholders.
  • Analyze pipeline performance, forecasting, conversion rates, win/loss trends, productivity, and other revenue metrics to identify opportunities and recommend actions.
  • Automate recurring reporting processes and replace manual spreadsheet-based workflows with scalable, governed BI solutions.
  • Document KPI definitions, data logic, reporting methodologies, and processes while helping business users adopt self-service analytics practices.
  • Partner with cross-functional stakeholders to understand business requirements and translate them into reliable, actionable analytics solutions.
  • Identify bottlenecks and inefficiencies in data and reporting workflows and recommend improvements to data architecture, tools, processes, and governance.
  • Support Customer Success analytics over time, including reporting, customer health scores, renewal analysis, churn, retention, and ad-hoc business analysis.
  • Train stakeholders on dashboards, data definitions, and best practices for interpreting and using analytics.
  • Use AI-assisted tools responsibly to improve efficiency, quality, analysis, and decision-making while maintaining professional oversight of outputs.

  Requirements:

  • 3–5 years of experience in data, reporting, analytics, business intelligence, or a related function, ideally supporting Sales, GTM, or Revenue Operations.
  • Demonstrated experience owning data quality, validation, hygiene, or governance processes as a core responsibility.
  • Hands-on experience building production dashboards using Power BI and/or Tableau.
  • Strong proficiency with DAX and Power Query (M), including data modeling, calculations, and transformation workflows.
  • Solid understanding of data modeling concepts such as star and snowflake schemas, fact and dimension tables, and semantic layers.
  • Familiarity with Salesforce data structures, reporting capabilities, and data governance practices.
  • Advanced Microsoft Excel skills, including pivot tables, advanced formulas, and Power Query.
  • Strong data visualization and storytelling abilities, with the ability to turn complex analysis into clear, decision-ready insights.
  • Demonstrated ability to collaborate with business stakeholders and translate their needs into scalable analytics and reporting solutions.
  • Strong attention to detail and a process-oriented mindset, with the discipline to maintain high standards of data accuracy.
  • Ability to manage multiple projects simultaneously, prioritize effectively, and deliver against tight timelines in a fast-moving environment.
  • Customer-focused, proactive, and comfortable taking ownership of projects with limited supervision.
  • Demonstrated experience using AI-enabled tools as part of day-to-day work to improve efficiency, quality, or decision-making.
  • Ability to work effectively with AI-assisted tools while applying sound professional judgment and accountability for results.
  • Bachelor's degree in Analytics, Computer Science, Statistics, Economics, Engineering, Information Systems, or another quantitative or technical discipline.
  • Experience with SQL, cloud data warehouses such as BigQuery, Snowflake, Redshift, or Databricks, Python or R, and Git is an advantage.
  • Exposure to Customer Success metrics, including health scores, renewals, churn, and retention analysis, is a plus.

  Benefits:

  • Remote work opportunity in Canada.
  • Country-specific benefits designed to support employee wellbeing and financial security.
  • Health and wellness benefits.
  • Financial benefits and support.
  • Work-life balance initiatives.
  • Flexible time-off program.
  • Opportunity to work within a global, collaborative, and technology-driven environment.
  • Exposure to revenue operations, business intelligence, Sales, and Customer Success analytics.
  • Opportunities to improve data systems, reporting infrastructure, and operational processes.
  • Inclusive workplace that values diverse perspectives, backgrounds, and experiences.
  • Professional growth opportunities through increasing ownership across revenue and customer analytics.
  • Background verification may be required as part of the hiring process.