Prototyping analytical tools developed by the engineering and analytics teams for Clir Renewables. Collaborating on automation scripts and methods for renewable energy analysts.
Responsibilities
- Act as the bridge between raw data and business insights
- Create the systems that empower our data teams, building pipelines and data models that transform messy, siloed data into clean, accessible, and reliable datasets
- Play a key role in how we make informed decisions by providing the single source of truth that powers our dashboards, reports, and analytical tools
Requirements
- Bachelor's degree or higher in a quantitative discipline such as Computer Science, Mathematics, Engineering, or a related field
- 3+ years of professional experience in analytics engineering, data warehousing, or data modeling. Experience in an e-commerce environment is a strong plus
- Strong understanding of modern data warehousing concepts, including fact tables, dimensions, star schemas, and slowly changing dimensions
- Expert-level proficiency in SQL and hands-on experience with the data modeling layer of modern BI and data visualization tools (e.g., Looker, Tableau)
- Proven hands-on experience in data modeling, data lake technologies, and large-scale data warehousing architecture
- Experience applying software engineering best practices to data, including version control (Git) and CI/CD
- Ability to translate complex data concepts and model designs for both technical and non-technical stakeholders, enabling them to tell stories with data
- An agile mindset for data product development
Benefits
- A hybrid working model with flexibility
- A customizable FlexBenefits budget
- Comprehensive wellbeing support
- Personalized training allowance and learning opportunities
- Responsibility from day one
- A diverse, international team
- Opportunities to grow with the best
- Meaningful connections beyond tasks
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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