Orennia
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Recently posted jobs
Analytics
Coordinate and execute experiential activations and conference participation across North America and the UK. Manage event logistics, vendor and AV coordination, HubSpot event pages and communications, registrations, reporting, and cross-functional collaboration while supporting broader marketing campaigns and administrative tasks.
Analytics
Deliver data-driven insights and analytical solutions for RNG and CCUS projects. Build and maintain economic and optimization models, manage large datasets, develop tools to streamline data workflows, and collaborate with clients to create custom solutions and present findings in meetings.
Analytics
As a Client Success Associate, you will build relationships with clients, support them in using Orennia's platform, and develop customized solutions while contributing to market analysis in renewables sectors.
Analytics
Support development of analytical models and long-term price forecasts for power, storage, and other energy transition sectors. Build data tools, manage large datasets, and deliver insights to clients. Work cross-functionally to customize solutions and present findings in meetings and calls.
Analytics
Create, collect, organize, and QC complex geospatial and technical datasets. Collaborate with analysts, data scientists, engineers and developers, automate repetitive tasks, query and manage large geospatial datasets, and maintain data standards for scalable delivery.
Analytics
Build, maintain, and troubleshoot ELT/data pipelines from multiple structured and unstructured sources. Support analysts by developing requirements and solutions, implement web-scraping for public data, and monitor production ELT processes and incident response.
Analytics
Drive product go-to-market and sales enablement: research markets, define positioning and messaging, create launch materials and sales tools, train commercial teams, and support UK expansion to accelerate revenue growth.
Analytics
Support market analysis across energy transition sectors; compile and maintain large datasets; develop analytical models; work with the Analytics team to build client solutions; participate in client meetings and presentations.
