Sr. Revenue Operations Analyst

Job description

**Position:** Sr. Revenue Operations Analyst **Department:** Revenue Operations **Location:** India(Remote) **Shift Timings:** 2PM - 11PM IST **About us** HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes. To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently. Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability. **Our people** With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home. **Our impact** Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that. Learn more about us on our [YouTube Channel](https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g) or [Blog Posts](https://blog.gohighlevel.com/general-atlantic-joins-highlevel/) **Who You Are:** You are a player-coach with genuine analytical depth and a builder's instinct. You do not wait to be asked — you surface what matters before it becomes urgent and bring recommendations, not just observations. You are comfortable walking into a room of experienced GTM leaders and challenging their thinking with data. You see broken workflows as problems to fix, not facts of life, and you have the operational credibility to implement the fix yourself. You thrive on unstructured problems and ambiguity is your baseline, not your blocker. **About the Role** We're looking for a Sr. Revenue Operations Analyst team. In this role, you'll own analytics, reporting, and process for a dedicated segment of the revenue org becoming the go-to person who turns raw performance data into the reporting, programs, and workflows that team runs on day to day. This is a hands-on, high-ownership role for someone who's equally comfortable building a dashboard, designing a process from scratch, and troubleshooting a broken workflow, and who wants a direct line of sight into how their work moves the business. **What You'll Do** **Analytics & Reporting** - Own and manage all performance analytics and reporting for your assigned segment, giving leadership a clear, real-time view of how the business is performing - Build, maintain, and continuously improve dashboards and recurring reports that leadership relies on to make decisions - Own program attribution — the tracking, operations, and reporting that connect activity to outcomes **Process & Program Development** - Design, build, and optimize end-to-end processes for your segment, from initial concept to rollout and iteration - Own pipeline/workflow management for your segment, identifying bottlenecks and driving improvements **Strategic Initiatives & Performance** - Track performance against goals and KPIs for your segment, flagging gaps early and calling out what's working - Identify growth opportunities by digging into the data where conversion is leaking, where capacity is underused, where a small change could move a big number - Build the business case for new initiatives: scope the opportunity, size the impact, and get leadership buy-in - Execute initiatives end-to-end, from planning through rollout, adjusting as you go based on what the data shows - Report on initiative outcomes against the original goals, and use those learnings to shape what you tackle next **Tools, Systems & Automation** - Build, own, and maintain the backend workflows and automations that power your segment's day-to-day operations in the HighLevel’s CRM - Leverage AI solutions for reporting, dashboards, and analysis **Stakeholder Partnership** - Act as the analytics and operations partner to your segment's leadership — meeting with them regularly (e.g., weekly) to review progress, surface issues, and align on priorities - Support onboarding, training, and change management when new processes or tools roll out - Fulfill ad hoc requests from leadership, prioritizing and scoping work independently **What We're Looking For** - 5+ years of experience in business/revenue analysis, sales/marketing operations, or a related analytical or operational field - Advanced proficiency in Excel/Google Sheets and SQL; experience with a BI tool (Tableau, Looker, Power BI) strongly preferred - Hands-on experience with a CRM (Salesforce preferred) and comfort building within or alongside GTM systems and automation platforms - Proven ability to build a process or program from scratch — scoping it, standing it up, and iterating based on results - Experience building or maintaining backend workflows, automations, or internal tools (no-code/low-code platforms, Zapier, workflow builders, etc. are a plus) - Strong attribution/tracking instincts — comfortable connecting activity data to outcomes and building reporting that holds up to scrutiny - Excellent communication skills, with the ability to distill complex analysis into a clear narrative for leadership audiences - A track record of operating independently in ambiguous situations, troubleshooting systems issues, and driving work to resolution - Bachelor's degree in Business, Economics, Statistics, or a related quantitative field, or equivalent practical experience - Experience with Python or R for data analysis is a plus, not a requirement