Revenue Operations Analyst

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AEM

WebsiteLinkedInAll Job Openings

201 - 500 employees

⚡ Energy

🌾 Agriculture

🏛️ Government

Energy • Agriculture • Government

AEM is a global leader in environmental insights and solutions, specializing in severe weather risk management, flood risk management, and wildfire risk management. The company provides advanced monitoring systems, sensors, and data collection technology to assist various industries in preparing for and responding to extreme weather events. AEM Elements™ 360 is their resilient platform that helps manage natural hazard risks efficiently. Their solutions serve a wide range of industries including agriculture, aviation, energy utilities, federal and national governments, and more, helping them safeguard communities, infrastructure, and entire industries from weather-related disruptions.

📋 Description

• 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. • Ability to extract data from various data sources and connect, import, and transform data for BI and AI/ML-driven 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 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.

🏖️ Benefits

• Health insurance • Retirement plans • Flexible work arrangements • Professional development opportunities