Analytics Engineer

Signal AI; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Signal AI is seeking an Analytics Engineer to join the newly formed Business Analytics team. You will design and build analytical models for premium enterprise clients and internal users to drive business decisions and enable self-service analytics.

You will manage data pipelines, ensure data quality, and deliver flexible data products across projects in collaboration with product, engineering, and operations teams.

Qualifications

• Strong SQL & Python experience with relational databases (e.g., Redshift/S3, SQL Server).
• Extensive ETL/ELT experience; familiarity with APIs; tools like dbt, Airflow and Talend.

Responsibilities

• Manage ETL pipelines and data models using SQL, dbt, and Airflow.
• Create and maintain interactive dashboards in Power BI and Tableau for clients and internal users.
• Transform, analyze, and optimize large data sets; ensure data quality and governance.

Skills

SQL & Python

ETL/ELT

BI Tools

Data Modelling

Self-starter

Teamwork

Communication

Learning

Tools

dbt

Airflow

Talend

Power BI

Tableau

Metabase

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 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 data-driven insights from well-designed data models.

Who are we looking for?

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

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.