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Revenue Operations Analyst II

GoHighLevel· Revenue Operations
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Hybrid (India)Employee IndiaPosted 4w ago

About the role

Revenue Operations Analyst II responsible for analytics, reporting, and process optimization for a dedicated segment of the revenue organization. Owns dashboards, program attribution, and end-to-end workflows; collaborates with GTM leadership to drive data-driven decisions in a hands-on, high-ownership role.

Responsibilities

  • 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
  • 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
  • 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
  • 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
  • Act as the analytics and operations partner to your segment's leadership — meeting with them regularly 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

Qualifications

  • 2-4 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

Skills

Required:Analytics & ReportingSQLExcel/Google SheetsBI Tools

Benefits

  • EEO Statement: The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.
  • We encourage you to review our Privacy Policy before submitting your application
  • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Last updated Oct 21, 2026. Interested? Apply on the company site.

About GoHighLevel

It's time to take your Agency to the Next Level

HighLevel is the all-in-one sales & marketing platform that agencies can white-label and resell to their clients!

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