Prototyping analytical tools developed by the engineering and analytics teams for Clir Renewables. Collaborating on automation scripts and methods for renewable energy analysts.
About the role
- Analytics Engineer transforming data into actionable insights at Zopa. Collaborating with teams to build high-quality data products and support business growth.
Responsibilities
- Collaborate with stakeholder teams to identify customer needs and deliver effective solutions that generate value for the business
- Model raw data into clean, tested & reusable datasets enabling analysts and other stakeholders to understand and use data more effectively
- Take ownership of existing data assets and identify ways to simplify and optimise them
- Develop good relationships with product teams to understand the changes that are coming and how this might impact the processes that you own
- Make your data sets a wonderful experience to use and support by providing great documentation and robust quality checks
- Get involved in troubleshooting and investigation of issues, liaising across teams to find solutions
- Provide input into improving how the team works and how to improve our processes, standards, and best practices to improve the quality and consistency of what we produce
- Help, support and mentor other members of the team and our stakeholder group with data knowledge and skills
- Support other team members by delivering code reviews and data validation checks to make sure we keep our standards
Requirements
- Previous experience in an analytics engineering role
- Strong SQL skills and experience with data warehouses (e.g., Redshift, Snowflake, BigQuery)
- Proficiency with dbt or similar data transformation tools
- Knowledge of data governance and best practices for data security
- Clear and concise communication skills to explain complex technical concepts to non-technical stakeholders
- Analytical mindset with attention to detail and curiosity to find the edge cases in data that might impact its use
- Excellent problem-solving skills
- Embraces new technologies and stays updated with the latest trends and tools in data analytics & engineering & AI
Benefits
- Flexible working arrangements
- Collaborative work environment
- Diversity and inclusion initiatives
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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