Senior Data

4 weeks ago

Stockholm, Sweden Nordea Bank Full time

Job ID: 24846 

We are looking for a person that is passionate about getting commercial value out of data and enjoys sitting at the intersection of business, data science, data engineering, architecture and management. This is an opportunity for you to work directly with business stakeholders across Nordea while being part of Applied Data Science, Nordea's Centre of Excellence for Marketing Technology, Advance Analytics, ML and AI.


At Nordea, we see that the world is changing fast – and we want to be one step ahead of the curve. That’s why we’re deeply committed to providing the financial solutions of tomorrow to our customers. We’re creating an agile environment where we experiment and grow together – and we need your ideas and unique background. With us, you’ll be in good company with a chance to make your mark on something bigger.


About this opportunity

You will join Data Foundation team, where we are proud of making analytics happen in the commercial space by delivering solutions that meet the needs and implement the use cases from our business stakeholders, while making our organization a successful and trusted partner.


What you’ll be doing:

Identify and prioritize business use cases that analytics is suited to solve in close collaboration with our stakeholders, and enabling them to do their jobs effectively and reach their targets. Drive the creation of data-driven solutions by translating these use cases into requirements for our data scientists, data engineers, and other technology experts, build actionable analytics solutions using data and marketing technologies while always ensuring proper compliance, risk mitigation, scalability, GDPR, data governance and data quality. Define and present product roadmaps leveraging data, AI/ML and marketing technologies to our stakeholders with a clear link to the business value of our products, highlighting dependencies and identifying and managing the risks. Embed our current products into business operations with high quality, providing training and supporting its lifecycle and issues resolution. Support the democratization of data and analytics by providing your expertise to the business areas, presenting existing tools and creating a strong data culture within Nordea.

The role is based in Helsinki or Stockholm, however some travel within the Nordic region might occur in the future.


Welcome to an organization located in the Nordics with a wide range of profiles, from data scientists, engineers and statisticians to economists, researchers, DevOps and IT developers. We aim to attract and retain talented high performers by being frontrunners in our area of expertise.


We take ownership for our own development and the development of our business, and we expand competencies through learning loops in a creative and appreciative rapid prototyping culture. We believe in high performing teams where everyone plays a role in reaching out for our mission to deliver world class analytics.

Who you are

Collaboration. Ownership. Passion. Courage. These are the four key values that guide us in being at our best. We imagine that you enjoy learning and are excited about bringing your ideas to the table. You’re dependable, willing to speak up – even when it’s difficult – and committed to empowering others.

You have passion for complex business problems that require analytics and making them happen in the right way – and you are motivated by learning and finding good and new solutions to how we solve business challenges and customer behaviour with creativity and analytical skills.

You are driven by achieving concrete result and see your work materialising in concrete customer engagement, satisfaction and sales. You always focus on execution and how your work can be transferred into real value for our customers by getting things done in a pragmatic way.

Your experience and background:

Experience as a data engineer / analyst / scientist with expertise in SQL, ETL processes and data modelling combining data from multiple different sources. Excellent communication skills, ability to communicate technical or complex matters with both business stakeholders and engineers in different levels of the organization. Experience within requirements analysis, ability to translate stakeholder needs into high level requirements to be implemented in the subsequent development activities. Experience working in Agile teams within SAFe framework.

Even better if you have:

Experience in big data and cloud computing platforms like Cloudera, AWS. Experience within data lake/warehousing architectures. Understanding of the data science modelling process. Experience in the data governance process and managing data privacy within applications.

If this sounds like you, get in touch 

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