Analytics Engineer for Narvar focused on building data infrastructure and enabling internal analytics. Collaborating with stakeholders to deliver metrics, models, and self - serve analytics solutions.
About the role
- Prototyping analytical tools developed by the engineering and analytics teams for Clir Renewables. Collaborating on automation scripts and methods for renewable energy analysts.
Responsibilities
- Prototype analytical tools and methods developed by the engineering and analytics teams, prior to production deployment
- Implement automation scripts and workflows that support renewable energy analysts in their day-to-day work
- Test analytical outputs against real asset data, validate logic, flag anomalies, document findings
- Collaborate with senior developers and analysts to iterate quickly on prototypes based on feedback
- Contribute to internal technical documentation for prototyped tools and methods
- Participate in sprint planning and scoping to understand priorities and timelines
- Surface practical observations from prototyping work that improve the final product
Requirements
- Hands-on experience in at least one programming language, Python strongly preferred
- An analytical mindset, comfortable working with messy data and finding what matters
- Genuine curiosity about how things work, and why they sometimes don't
- Clear written and verbal communication in English, you'll need to explain what you built and what you found
- Comfort operating with some ambiguity in a fast-paced environment
Benefits
- Opportunity to work in an inclusive and diverse workplace
- Be part of a team committed to reducing environmental impact and advancing renewable energy
- Support for your professional growth and development
- Flexible work schedule to help you maintain work-life balance
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