Data Analyst
Posted Updated 10
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This position is no longer accepting applications(closed Oct 16, 2026).
Nordnet is redefining the landscape of savings and investments, guiding over 2.5 million customers in their financial lives. We have spent the last years building a modern data platform and fostering a culture where actionable insights and rapid product refinement are part of our DNA. In our fast-paced environment, this remains a competitive edge - allowing us to ship, learn, and iterate faster than the market.
Now we are seeking to engage a passionate Data Analyst to join our team.
The role
As a Data Analyst at Nordnet, you will be a part of Data & Insights, where you have the opportunity to work alongside Data analysts, Data Scientists, Analytics Engineers and Data Engineers.
You will be embedded in our Product development teams, where you will be an integral component, working with designers, product leads and developers. You will deep-dive into our users and our products, and turn data into actionable insights.
We would love it if you feel excited about at least some of these statements.
Going beyond simple questions, defining a problem and understanding the right analytical approach
Conduct statistical analyses on our customer -, financial -, and company data to identify patterns of behaviour
Design experiments to evaluate various hypotheses and design choices
Utilize AI and advanced modeling to scale your impact
Craft and present compelling stories that will impact our decision makers
Help improve our existing methodologies
This is you
You are passionate about data and learning new things, and you want to contribute with your experience and ideas. In your work, you are organised, methodical and agile in a way that benefits the team’s working climate and ability to deliver solutions.
To thrive in this role, we believe that most of these criteria describe you:
Proactive, with a strong sense of ownership
A strong communicator with the ability to engage both technical and non-technical stakeholders
Experience of using SQL, Python, R and dbt
Hands-on experience with A/B testing
Degree in economics, data science, statistics, engineering, mathematics, or similar
We think that you have 3+ years experience working as a Data Analyst at a product oriented organisation.
What we offer
We are committed to your continuous growth, offering a space where you can learn, contribute, and take ownership of your technical domain over time. At Nordnet, we offer:
A hybrid work model balancing remote flexibility with collaboration in our Stockholm office.
5,000 SEK annual wellness contribution (friskvårdsbidrag).
A culture that values continuous learning and technical ownership.
Visit us on ,, , and .
Application
At Nordnet, we know that the best products are built by teams with a mix of different backgrounds and perspectives. If you are excited about the challenges we’re solving and see yourself contributing to our team culture, we’d love to hear from you.
To ensure a fair and streamlined process for everyone, we only accept applications through our recruitment system. We interview continuously, so feel free to reach out as soon as possible!
Please note: Nordnet conducts credit and background checks as well as a drug test on the final candidate as part of our standard process for a digital bank.
We look forward to meeting you!
Now we are seeking to engage a passionate Data Analyst to join our team.
The role
As a Data Analyst at Nordnet, you will be a part of Data & Insights, where you have the opportunity to work alongside Data analysts, Data Scientists, Analytics Engineers and Data Engineers.
You will be embedded in our Product development teams, where you will be an integral component, working with designers, product leads and developers. You will deep-dive into our users and our products, and turn data into actionable insights.
We would love it if you feel excited about at least some of these statements.
Going beyond simple questions, defining a problem and understanding the right analytical approach
Conduct statistical analyses on our customer -, financial -, and company data to identify patterns of behaviour
Design experiments to evaluate various hypotheses and design choices
Utilize AI and advanced modeling to scale your impact
Craft and present compelling stories that will impact our decision makers
Help improve our existing methodologies
This is you
You are passionate about data and learning new things, and you want to contribute with your experience and ideas. In your work, you are organised, methodical and agile in a way that benefits the team’s working climate and ability to deliver solutions.
To thrive in this role, we believe that most of these criteria describe you:
Proactive, with a strong sense of ownership
A strong communicator with the ability to engage both technical and non-technical stakeholders
Experience of using SQL, Python, R and dbt
Hands-on experience with A/B testing
Degree in economics, data science, statistics, engineering, mathematics, or similar
We think that you have 3+ years experience working as a Data Analyst at a product oriented organisation.
What we offer
We are committed to your continuous growth, offering a space where you can learn, contribute, and take ownership of your technical domain over time. At Nordnet, we offer:
A hybrid work model balancing remote flexibility with collaboration in our Stockholm office.
5,000 SEK annual wellness contribution (friskvårdsbidrag).
A culture that values continuous learning and technical ownership.
Visit us on ,, , and .
Application
At Nordnet, we know that the best products are built by teams with a mix of different backgrounds and perspectives. If you are excited about the challenges we’re solving and see yourself contributing to our team culture, we’d love to hear from you.
To ensure a fair and streamlined process for everyone, we only accept applications through our recruitment system. We interview continuously, so feel free to reach out as soon as possible!
Please note: Nordnet conducts credit and background checks as well as a drug test on the final candidate as part of our standard process for a digital bank.
We look forward to meeting you!