Revenue Operations Analyst

1 - 3 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Location - Chennai (Work from Office)


About the Role

Revenue Operations Analyst position available for a data-driven professional to join our growing SaaS team. This role focuses on driving revenue growth through advanced analytics, process optimization, and cross-functional collaboration.


Key Responsibilities


1. Revenue Analytics & Business Intelligence

  • Analyze sales, marketing, and customer data to identify growth opportunities and performance gaps
  • Develop and maintain comprehensive dashboards in HubSpot, Power BI, and advanced reporting systems
  • Build automated workflows and sequences in HubSpot CRM for lead management and customer journey optimization
  • Conduct regular data analysis providing actionable insights to executive leadership team
  • Perform ad-hoc revenue analysis addressing specific business problem statements and strategic initiatives
  • Prepare monthly MIS reports and KPI dashboards for C-level review and board presentations

2. GTM Tech Stack Management & System Integration

  • Manage Go-to-Market tech-stack optimizing data infrastructure and system performance
  • Integrate CRM systems using APIs (REST/SOAP) with marketing automation, billing, and customer success platforms
  • Monitor and evaluate SaaS tools identifying cost-effective alternatives to enhance operational efficiency
  • Implement workflow automation between HubSpot and third-party tools

3. Data Systems & Revenue Operations Infrastructure

  • Lead data governance initiatives ensuring accuracy, consistency, and compliance across revenue databases
  • Address data structure challenges as part of continuous improvement and scalability planning
  • Collaborate with cross-functional teams (Sales, Marketing, Customer Success, Finance) to streamline revenue processes
  • Maintain data quality standards implementing best practices for clean, reliable, and actionable data

4. SaaS Metrics & Revenue Reporting

  • Deep expertise in SaaS metrics: ARR/MRR analysis, Customer Lifetime Value (LTV), Net Revenue Retention (NRR)
  • Advanced knowledge of Inbound, Outbound, and Churn metrics with predictive analytics capabilities
  • Cohort analysis and customer segmentation for retention and expansion strategies

5. Process Documentation & Optimization

  • Document process improvements updating Rules of Engagement (ROE) for GTM teams
  • Identify and implement efficiency enhancements reducing manual work and increasing automation
  • Create standard operating procedures for revenue operations workflows and data management

6. Cross-Functional Revenue Collaboration

  • Partner with Finance and Billing teams to validate bookings, revenue recognition, and forecasting accuracy
  • Collaborate with Engineering teams implementing GTM requirements and ensuring seamless system integrations
  • Work with Sales Enablement providing data-driven insights for performance improvement and training


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

  • HubSpot 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)
  • Marketing automation tools: Google Analytics, HubSpot Marketing Hub experience
  • Statistical analysis and predictive modeling for revenue forecasting and churn prediction
  • Python/R knowledge for advanced analytics (bonus qualification)
  • Data warehouse experience: Snowflake, BigQuery, or similar platforms (preferred)
  • GenAI tools and techniques proficiency with experience utilizing LLMs for business problem-solving

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

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