Revenue Operations Analyst

Revenue Operations Analyst Experience: 1-3 years Location: Chennai & Work from Office Role summary : You'll own Survey. Sparrow'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