Description
We're looking for a dedicated Analytics Engineer to join the AI Group to help us with data platform development, cross-functional collaboration, data strategy & governance, advanced analytics & insights, automation & optimization, innovation in data infrastructure, and strategic influence.
As an Analytics Engineer, you will design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform. You will partner with AI analysts, ML scientists, engineers, and business teams to understand data needs and ensure accurate, reliable, and ergonomic data solutions. You will lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows. You will conduct data analysis and build custom models to support strategic business decisions and performance measurement. You will streamline data collection and reporting processes to reduce manual effort and improve efficiency. You will create scalable solutions like unified data pipelines and access control systems to meet evolving organisational needs. You will work with partner teams to align data collection with long-term analytics and feature development goals.
You will write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code. You will be familiar with the modern data stack, including dbt and Snowflake. You will have a growth mindset and eagerness to learn. You will exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs. You will practice excellent communication skills, and you will tailor explanations of technical concepts to a variety of audiences.
Nice to haves include exposure to Apache Airflow or other DAG frameworks, worked in Tableau, Looker, or similar visualization/business intelligence platform, experience with operational tools and business systems, and familiarity with Python.