Revenue Operations Analyst

AEM (Advanced Environmental Monitoring) is the global leader in innovative mission critical weather, wildfire and water monitoring and intelligence solutions. We aim to be the world’s essential source for environmental insights – enabling decisive action and positive outcomes for our customers and their constituents. Our family of innovators offers world-class hydrometeorological technologies and services, including sensors, dataloggers, telemetry, and advanced analytics and software. Our technology and services empower the communities and organizations to survive – and thrive – in the face of escalating environmental risks.

AEM is looking for a highly motivated Revenue Operations Analyst (ROA). This dynamic position works to implement, maintain, and improve sales and CRM systems, processes, data accuracy and integrity, as well as provide timely reporting, analysis, and insights on sales trends and forecasts. The ROA is responsible for the efficiency and effectiveness of the revenue organization end-to-end, from marketing-sourced pipeline through closed-won and renewal. They partner with sales, marketing, and revenue leadership on strategic planning and apply AI-driven, predictive insights to shape go-to-market strategy. The role also performs ongoing revenue analysis using statistical modeling, machine learning, and AI-powered forecasting and deal-scoring tools to continuously improve revenue operations. The ideal candidate combines technical, analytical, and communication skills with fluency in modern AI/ML-powered sales and marketing platforms, plus a data-driven, continuous-improvement mindset that drives revenue growth.

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.

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of the Employer.