Analytics Engineer

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 newly formed Business Analytics team, working closely with Engineering, Operations & Product teams to design & build analytical models for both our premium enterprise clients and internal data users to drive impactful business decisions and enable self-service analytics.

The role will need to manage data pipelines, quality and delivery methods across multiple projects. You'll work closely with various stakeholders to understand and identify the correct data for the proper use case. This role should have a strong level of 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 you will be doing?

• Managing the development and maintenance of ETL pipelines and data models using tools like SQL, dbt, and Airflow.

• Creating & maintaining interactive dashboards and leading user engagement of them with both our largest clients and internal users in Power BI & Tableau.

• Transforming, analysing & optimising large sets of quantitative and qualitative data.

• Taking ownership of reporting processes to ensure accuracy and reliability for the end-users with strong governance and version control.

• Testing, unpicking & refining areas such as analytical scoring, user behaviour, product performance to identify trends & opportunities and set up the most relevant KPIs.

• Collaborating with product managers, engineers, and ops analysts to provide dat...