Analytics Engineer to Business & Retail Banking

Are you passionate about turning complex data into trusted, scalable and business-ready solutions? Would you like to shape the foundation for how digital behavioural data is used across a leading financial institution—and help make it ready for both people and AI? If so, this could be an opportunity for you!

The Business & Retail Banking (BRB) division is strengthening the Data, Analytics & CIO organization to accelerate our journey towards a more data-driven and customer-centric bank. You will join a team of highly engaged data and analytics professionals and report to Magnus Klint, Head of Customer Insight Analytics.

About the job

As an Analytics Engineer, you will create and maintain the data infrastructure, architecture and models that make digital behavioural data reliable, understandable and easy to use for analysis, reporting and emerging AI-enabled use cases.

You will translate business requirements into sustainable technical and data solutions, taking ownership from agreed requirements through implementation and production. Your work will include designing scalable and cost-efficient transformation pipelines, developing event-based and cross-channel data models, and creating consistent definitions at event, session and user level.

You will also validate data, monitor quality, troubleshoot pipeline and data issues, and continuously improve maintainability, performance and cost. An important part of the role is ensuring that datasets, metadata, documentation and business definitions are trustworthy and suitable for downstream consumption by analysts, business users and AI models.

Working in a modern cloud environment, you will contribute hands-on to solutions using technologies such as Google Cloud Platform with focus on BigQuery & Dataform, SQL, JavaScript, Terraform and Git-based development workflows. You will support secure access management and collaborate closely with business stakeholders, analysts, engineers, architects and platform teams to deliver solutions that create measurable business value.

You will be part of building BRB’s cloud-based data and analytics platform and shaping new ways of working. This is an opportunity to combine technical depth with business proximity, influence our future data landscape and explore how semantic definitions and new AI technologies can accelerate insight generation.

The position is based in Arenastaden, Solna.

To thrive in this role, we believe you have: 

We are looking for someone with a few years of relevant experience in analytics, data engineering or digital behavioural data who is ready to take the next step in their career. You may currently work as an Analytics Engineer, Data Engineer or in a related role, and have gained practical exposure to data modelling and cloud-based data transformation. Relevant academic training or equivalent professional experience is valuable, but we are equally interested in your curiosity, problem-solving ability and motivation to grow in the role. 

• You have practical experience using SQL for data analysis or modelling, together with some familiarity with dbt, Dataform or a comparable transformation framework.  

• You have experience in developing cloud-based data pipelines and models, while exposure to Google Cloud Platform and BigQuery is an advantage.  

• Experience with event-based or digital behavioural data from web or app environments is beneficial, but not essential. 

• You understand the principles of building reliable and maintainable data solutions and are motivated to develop your skills in data quality, performance and troubleshooting.  

• Familiarity with areas such as access management, metadata, Terraform, scripts, Git or DevSecOps is beneficial, but we do not expect you to be an expert in all of them.  
• You also have good communication and collaboration skills, an interest in working between business needs and technical implementation, and good written and spoken English. Swedish is an advantage. 
  
  

You are structured, analytical and curious, with a natural drive to solve problems and improve how things work. You enjoy collaborating with others, are comfortable taking responsibility for your work and are eager to continue developing your technical expertise. Above all, you are motivated by making complex data easier to trust, understand and use.