Sales Operations Analyst

We're looking for a highly analytical and motivated Sales Operations Analyst to support and evolve our sales operations function. This role is ideal for someone early in their career who has strong foundations in reporting, dashboards, and CRM systems-and is ready to grow into a more strategic Revenue Operations partner.

• Partner with Sales leadership to improve pipeline visibility, sales performance tracking, and forecasting accuracy
• Build and enhance Salesforce dashboards and reports to provide actionable insights across the full revenue funnel
• Analyze sales data to identify trends, risks, and opportunities to improve conversion rates and sales effectiveness
• Support forecasting processes by maintaining data integrity and developing scalable reporting frameworks
• Collaborate cross-functionally with Marketing, Customer Success, and Finance to align on key metrics and reporting standards
• Help design and optimize sales processes, workflows, and tools to improve operational efficiency and scalability
• Contribute to the development of a centralized knowledge base (e.g., enablement resources, documentation) to support sales productivity
• Assist with implementation and adoption of new tools, systems, and processes, including user training and UAT
• Take ownership of projects that drive automation, reduce manual reporting, and improve data accessibility

• Exposure to full-funnel Revenue Operations (Sales, Marketing, and Customer Success)
• Opportunity to move beyond reporting into strategic analysis and decision support
• Hands-on experience improving forecasting models and pipeline management
• Ownership of impactful projects that directly influence revenue growth
• Mentorship and development toward a Senior Sales Ops / RevOps role

• 1-3 years of experience in Sales Operations, Business Analytics, or similar role
• Experience with Salesforce reporting and dashboard development
• Strong analytical skills with experience in KPI tracking and performance reporting
• Advanced Excel skills (data analysis, modeling, automation)
• Ability to communicate insights clearly to both technical and non-technical stakeholders

• Experience with BI tools (Tableau, Domo, etc.)
• Familiarity with SQL or Python-based tools (e.g., Anaconda)
• Exposure to SaaS metrics (ARR, pipeline, conversion rates, churn, etc.)
• Experience supporting or working with go-to-market teams

• Sales & Revenue Operations
• Forecasting & Pipeline Analytics
• Dashboard Development & Data Visualization
• CRM Reporting & Data Integrity
• Process Optimization & Automation
• Cross-Functional Collaboration
• Strategic Thinking & Problem Solving