Revenue Operations Data Analyst

Job description

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. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Revenue Operations Data Analyst based in Canada. This role sits at the intersection of data quality, business intelligence, and revenue operations, helping ensure GTM teams have accurate information they can confidently act on. You’ll own the integrity and governance of data across Salesforce and related systems while building scalable reporting and analytics solutions. Your work will support Sales, Customer Success, Finance, and executive stakeholders with clear insights into pipeline, forecasting, conversion, productivity, and customer performance. You’ll replace manual processes with reliable dashboards, reusable data models, and automated workflows. The environment is fast-paced, collaborative, and highly data-driven, with significant ownership and opportunities to improve systems and processes. Over time, you’ll expand into a strategic analytics partner for Customer Success and broader revenue operations.