Analytics Engineer

Job description

At Signal AI, we use cutting-edge AI technology to offer clarity on decisions that shape businesses and society. We value restless curiosity, creative thinking, and diverse perspectives as we strive to become AI-native. We believe that AI is a collaborator, not just a tool, and we invite passionate individuals to join us on our journey as we continue to learn, experiment, and grow together. About the role - what’s your purpose? We are looking for an Analytics Engineer to join our Business Analytics team, working closely with Engineering and Commercial & Strategic Solutions to design & build analytical models for both our premium enterprise clients and internal data users, driving impactful business decisions and enabling self-service custom insights. The role will manage data pipelines, quality, and delivery methods across multiple projects, and own how we craft business logic into unique datasets for each client, whether through a dashboard or a more agentic UI. You’ll work closely with stakeholders to understand and identify the best data for each use case. This role requires strong confidence in managing and optimising data models and processes (with and without LLMs) to ensure data products are flexible, pragmatic, and fit for purpose. Day-to-Day Responsibilities - What will you be doing? Managing the development and maintenance of ETL pipelines and data models using tools like SQL, dbt, and Airflow. Transforming, analysing & enriching large sets of quantitative and qualitative data. Creating & maintaining dashboards & artefacts built on top of pipelines in BI tools or via agents, to deliver key business insights. Testing, unpicking & refining areas such as analytical scoring, user behaviour, product performance to identify trends & opportunities and set up the most relevant KPIs. Taking ownership of meeting client processes to ensure accuracy and reliability for end users, with strong governance and quality testing. Collaborating with product managers, engineers, and ops analysts to provide data-driven insights from well-designed data models. Who are we looking for? You are confident designing data models, owning semantic layers, and implementing transformation techniques with version control in data pipelines. You enjoy understanding the business logic behind client use cases and translating them into structured data flows. You have several years of s…