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Remora is seeking a  Senior Performance  Analyst  to  build the analytical foundation for our next-generation carbon capture fleet. This is a hands-on technical role responsible for designing the performance monitoring, reporting, and analytics framework that will support  multiple  identical modular carbon capture systems paired with commercial natural gas generators. Working closely with controls, design, and systems engineers, you will transform operational and process data into scalable, automated analytics that enable commissioning, fleet monitoring, investor reporting, and predictive maintenance. We're building modular carbon capture systems for vehicles — turning exhaust into beverage-grade CO2 sold to breweries and greenhouses. We deploy in regions facing severe CO2 shortages, where prices are highest, allowing us to generate high margins without tax credits or carbon credits. We've signed up some of the largest companies in the world to pilot our technology, including iconic multibillion-dollar brands, top trucking companies, and some of the most recognizable Fortune 100 companies. We’ve raised multiple rounds of funding from top investors like Lowercarbon Capital, Union Square Ventures, First Round Capital, Y Combinator, and Valor Equity Partners.      Responsibilities: Design and build the performance monitoring and reporting framework for Remora's carbon capture fleet, establishing system baselines and KPIs from R&D and commissioning data.  Develop automated dashboards and reports including real-time operational views and periodic operational and investor-facing reports covering system availability, CO₂ production, and energy efficiency.  Define KPI calculations, acceptable operating ranges, data sources, and reporting standards.   Partner with controls engineers to integrate analytics with Ignition SCADA and SQL historian infrastructure.   Collaborate closely with engineers to translate process knowledge into scalable analytics and develop fleet benchmarking capabilities. Build anomaly detection and leading-indicator monitoring to identify emerging performance issues, evolving these models toward predictive maintenance capabilities as fleet data grows. Support commissioning by developing tools that enable rapid validation and troubleshooting of new systems.     Requirements   Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or a related technical field.  5+ years of experience in industrial analytics, performance engineering, data science, or similar technical roles.   Strong SQL experience working with large industrial or time-series datasets.   Proficiency in Python, R, or another scripting language for data analysis and statistical modeling.  Experience developing automated dashboards, reporting systems, and data visualization tools.   Strong understanding of statistical analysis, time-series data, anomaly detection, and process monitoring.   Ability to work cross-functionally with engineering teams and translate complex technical concepts into scalable analytical solutions.   Excellent written and verbal communication skills.   Here’s what we value:   Mission First:  We are laser-focused on our mission. We have chosen to take on the defining challenge of our time, and we don’t shy away from the hard decisions required to put our mission first, no matter how tough. The world needs our technology and it won’t happen any time soon if we don’t make it happen. We are a low-ego team, and we prioritize the mission over our self-interest. We think strategically with an eye to the long term, and we clearly separate what m