Revenue Operations Analyst

Revenue Operations Analyst

Experience: 1-3 years

Location: Chennai & Work from Office

Role summary:

You'll own SurveySparrow's revenue data from end to end: attribution, lead routing, MRR reporting, compensation data and CRM health. You'll also build the automation that keeps it accurate and fast. This is a builder role, not a reporting seat. Success means leadership trusts the numbers, reps act on leads sooner, and every system you own is documented.

Key Responsibilities

1. Revenue reporting and SaaS metrics

• Run the monthly MRR bridge (new, expansion, contraction, churn) and reconcile CRM deals against billing
• Report ARR/MRR, NRR, GRR, LTV and cohort retention reporting for leadership
• Help in increasing operational efficiency leveraging our current data system

2. Lead routing and rep enablement

• Design and run lead routing and assignment (CRM workflows, n8n/zapier)
• Support Sales, Post sales & Marketing across inbound & expansion motions
• Maintain the ROE for Sales, CS and Partners

3. Compensation, quota and ICP

• Support quota setting and track attainment by rep and team
• Validate commission data with Finance each cycle
• Own the feedback loop on ICP vs Market definition

4. CRM, data quality and GTM stack

• Administer CRM: properties, workflows, associations, permissions
• Run deduplication, company–domain matching and data governance rules
• Integrate CRM with billing, product and CS tools via APIs and webhooks
• Build AI-assisted automations (LLM agents, MCP connectors) that remove manual work
• Required Qualifications

Experience & Education

• 1-3 years progressive experience in Revenue Operations, Sales Operations, Business Operations, Data Analysis, or related analytical roles
• Bachelor's degree in Business, Engineering, Economics, Finance, Mathematics, Data Science, or quantitative field
• SaaS/Technology industry experience strongly preferred
• Startup to scale-up environment experience valued

Technical Skills & Certifications

• CRM expertise: Advanced workflows, reporting, and automation
• Business Intelligence tools: Power BI, Tableau, Looker with dashboard creation and DAX experience
• Data analysis proficiency: Advanced Excel/Google Sheets, SQL (intermediate to advanced level)
• Statistical analysis and predictive modeling for revenue forecasting and churn prediction
• AI tools and techniques proficiency with experience utilizing LLMs for business problem-solving

Nice to have

• n8n, Zapier or Make for cross-tool automation
• Google Apps Script or Java script

Core Skills & Mindset

• Strong analytical and problem-solving abilities with attention to detail and accuracy
• Excellent communication and presentation skills for C-level executive reporting
• Cross-functional collaboration expertise working effectively across Sales, Marketing, CS, and Finance
• Adaptability in fast-paced environment with strong work ethic and ownership mindset
• Proactive, solution-oriented approach to complex business challenges