Jobs at Orennia

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.

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.

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.

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.

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.

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.

Develop and maintain electricity rate and tariff research, build long-term economic and T&D cost models, manage a utility rate calculator, track regulatory trends across the US and Canada, and support client screening, custom solutions, and meetings for power, renewables, storage, and data center projects.

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.