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