Analytics Engineer
G Research
As an Analytics Engineer at G-Research, you will own analytics engineering work across one or more business areas, developing clean, reusable datasets and AI-enabled workflows to support data-driven decision making. You’ll build data models and tools, advocate best practices, and collaborate with analysts and stakeholders to turn priorities into a clear roadmap. The role sits within the Platform and Data Architecture team in Strategy and Insights, driving insights on the firm’s health and supporting strategic delivery. This is a chance to shape data platforms and accelerate analyst-led discovery at a world-class quantitative research house.
Pay / Benefits- Highly competitive compensation
- 30 days’ annual leave
- 9% company pension contributions
- Healthcare and life assurance
- Lunch provided via Just Eat for Business
- Cycle-to-work scheme
- Own analytics engineering relationship and roadmap for one or more business areas
- Develop clean, tested, documented, reusable datasets powering self-service and deep dives
- Build tools and AI-enabled workflows to speed analyst work
- Apply software engineering practices to the analytics stack (CI/CD, containerisation, Linux tooling, testing, code review)
- Collaborate with data analysts and stakeholders, promoting best practices in data modelling and self-service analytics
- Experience in analytics engineering or data engineering with strong business acumen
- Strong data transformation skills using Python and SQL; experience with dbt core and dlt
- Fluent in modern software engineering environment (CI/CD, Docker/Kubernetes, Linux, version control); DataOps understanding
- Practical use of AI tools and experience building AI-enabled workflows
- Proven track record of end-to-end delivery including scoping, design, delivery, and support
- Excellent interpersonal and communication skills for senior stakeholder relationships
- Innovative mindset with continuous improvement attitude
- interpersonal communication
- stakeholder management
- collaboration
- Python
- SQL
- dbt core
Reference: WJ-747_30143492