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About the Role

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.

Responsibilities

Manage the development and maintenance of ETL pipelines and data models using tools like SQL, dbt, and Airflow.
Create & maintain interactive dashboards and lead user engagement of them with both our largest clients and internal users in Power BI & Tableau.
Transform, analyse & optimise large sets of quantitative and qualitative data.
Take ownership of reporting processes to ensure accuracy and reliability for the end-users with strong governance and version control.
Test, unpick & refine areas such as analytical scoring, user behaviour, product performance to identify trends & opportunities and set up the most relevant KPIs.
Collaborate with product managers, engineers, and ops analysts to provide data-driven insights from well-designed data models.

Requirements

Strong expertise in SQL & Python for relational database systems such as Redshift/S3 and SQL Server.
Several years of strong experience with ETL/ELT processes and APIs with tools such as dbt, Airflow, and Talend.
Proficient in using BI visualisation tools, in particular Power BI, Tableau & Metabase.
Good knowledge of data modelling & transformation techniques within data pipelines.
Self-starter mindset; proactively identify issues and opportunities and tackle them without being told to do so.
Love building products as part of a cross-functional team, focused on an iterative, outcome-driven approach.
Strong communication skills and comfortable expressing ideas and listening to multiple different audiences.
Positive attitude and keen to learn new skills in order to succeed.

Skills

SQL
Python
ETL/ELT
APIs
dbt
Airflow
Talend
Power BI
Tableau
Metabase
Data Modelling
Data Transformation

Experience Level

Several years of strong experience

About the Company

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.

Equal Opportunity

Not sure you meet every requirement? Studies show that women and other underrepresented groups often hesitate to apply unless they check every box. At Signal AI, diverse perspectives strengthen our teams, drive innovation, and lead to better performance. So even if your background doesn’t align perfectly with each qualification, we encourage you to apply if you’re passionate about this role.
We're dedicated to creating an inclusive environment where every Signaller feels welcomed, valued, and heard—a place where you can truly thrive as yourself.