Zopa - Analytics Engineer
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Requirements
• You would report directly into the Head of Analytics Engineering • You'll collaborate with stakeholder teams to identify customer needs and deliver effective solutions that generate value for the business • You'll model raw data into clean, tested & reusable datasets enabling analysts and other stakeholders to understand and use data more effectively • You'll take ownership of existing data assets and identify ways to simplify and optimise them • You'll develop good relationships with product teams to understand the changes that are coming and how this might impact the processes that you own • You'll make your data sets a wonderful experience to use and support by providing great documentation and robust quality checks • You would get involved in troubleshooting and investigation of issues, liaising across teams to find solutions • You would 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 • You'll help, support and mentor other members of the team and our stakeholder group with data knowledge and skills • You'll support other team members by delivering code reviews and data validation checks to make sure we keep our standards • 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 • Experience with Python or Airflow • Experience in CI/CD pipelines for data engineering workflows
Responsibilities
• This role offers a dynamic environment where you can make a real impact while contributing to a culture of excellence and collaboration. • A day in the life: • You would report directly into the Head of Analytics Engineering • You'll collaborate with stakeholder teams to identify customer needs and deliver effective solutions that generate value for the business • You'll model raw data into clean, tested & reusable datasets enabling analysts and other stakeholders to understand and use data more effectively • You'll take ownership of existing data assets and identify ways to simplify and optimise them • You'll develop good relationships with product teams to understand the changes that are coming and how this might impact the processes that you own • You'll make your data sets a wonderful experience to use and support by providing great documentation and robust quality checks • You would get involved in troubleshooting and investigation of issues, liaising across teams to find solutions • You would 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 • You'll help, support and mentor other members of the team and our stakeholder group with data knowledge and skills • You'll support other team members by delivering code reviews and data validation checks to make sure we keep our standards
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