Revenue Operations Analyst

Job Responsibilities

• Partner with sales, marketing, and product leaders to define and prioritize go-to-market (GTM) revenue operations business intelligence (BI) needs, including AI-enabled KPIs and performance metrics across the full funnel.
• Analyze CRM and marketing automation data accuracy and integrity, partnering with sales and marketing teams to maintain and continually improve data quality, hygiene, and governance.
• Formulate and institute revenue, sales, and marketing KPIs and dashboards, leveraging AI and predictive analytics, to monitor and improve pipeline health, funnel conversion, and overall go-to-market performance.
• Analyze lead-to-revenue data by dimension (market segment, product line, territory, channel) to assess sales velocity, pipeline mix, marketing-sourced and -influenced contribution, and conversion rates, informing planning and improving forecast accuracy.
• Build and maintain AI-powered sales forecast and deal-scoring models (e.g., Salesforce Einstein, Clari, or comparable predictive tools) to support pipeline progression, sales velocity, and recurring subscription and renewal forecasting.
• Analyze direct and indirect transactional and marketing attribution data to determine optimal channel mix and ROI across sales and marketing investments.
• Study sales and marketing funnel trends by segment and solution set to inform territory planning, pipeline coverage, and seller/marketer capacity needs.
• Evaluate, pilot, and help scale emerging AI tools, including generative AI for conversation intelligence, sales engagement, lead scoring, and marketing automation, to improve rep and marketer productivity.
• Design and implement compelling visualizations, dashboards, and reports that translate AI-generated insights into clear KPI narratives for sales, marketing, and executive stakeholders.
• Analyze market, customer, and competitive trends, incorporating AI-assisted research tools where useful, to support evidence-based decisions and track market and account share on an ongoing basis.
• Collaborate across sales, marketing, customer success, and finance to understand workflows, troubleshoot process issues, and continually improve quote-to-order and lead-to-revenue processes.
• Train sales and marketing teams on systems, AI tools, and processes to improve adoption, efficiency, and data quality.
• Drill down on team, seller, and campaign performance using AI-driven analytics, enabling managers to proactively address performance and process gaps.
• Consult with internal stakeholders to identify, analyze, refine, and document business processes and functional requirements for revenue operations systems and automation.
• Gather requirements for sales operations projects, test and evaluate new and existing technologies, and work closely with internal stakeholders to manage and execute projects.
• Contribute to the development of strategic, operating, quarterly and monthly sales plans and forecasts.
• Be proficient in identifying problems and presenting scalable, AI-enabled solutions to resolve them.

Requirements

• B.S. in a quantitative field such as Engineering, Business Intelligence (BI), Analytics, Data Science, Computer Science, or Mathematics.
• Minimum 3 years of experience in a sales, marketing, or revenue operations/business analyst capacity, or comparable practical work experience.
• Proficiency in Salesforce suite including CPQ and AI/predictive features (e.g., Einstein, Data Cloud); Salesforce Admin or Developer certification preferred.
• Experience with AI- and ML-powered sales and marketing platforms (e.g., Clari, Gong, 6sense, HubSpot AI, or comparable forecasting, conversation intelligence, or intent tools).
• Familiarity with marketing automation and demand-generation platforms (e.g., HubSpot, Marketo, Pardot) and how they integrate with CRM for full-funnel revenue reporting.
• Experience designing, developing, and implementing advanced BI/reporting and predictive-analytics solutions for effective data analysis.
• Advanced experience with Microsoft Excel or comparable business analysis, reporting, and visualization tools.
• Working knowledge of predictive analytics and machine learning concepts as applied to sales forecasting, lead/deal scoring, and marketing attribution.
• Ability to extract data from various data sources and connect, import, and transform data for BI and AI/ML-driven analysis.
• Ability to present and explain data and AI-driven analysis methodologies confidently to team members and management.
• Strong analytical skills with excellent planning, analysis, and execution abilities.
• Excellent organizational and project management skills and follow-through.
• Ability to work cross-functionally and internationally; experience working in a multi-country, multi-cultural environment preferred.
• Exceptional verbal and written communication skills.
• Solid knowledge of sales and marketing principles and revenue operations practices.
• Strong interpersonal and active listening skills.
• Learning mindset with curiosity about emerging AI/GenAI tools, and creative, resourceful problem-solving ability.
• Comfortable operating in a highly dynamic, fast-paced, and rapidly evolving AI-driven technology environment.
• Elevated level of accuracy and critical attention to detail.