surveysparrow
Revenue Operations Analyst
Skills
Job description
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,
- 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
- 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
- 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
- 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