Data Analyst

Nordnet Bank AB; Stockholms kommun; Hybrid; SEK 520,000 - 700,000; Full time

Benefits offered by this job

Hybrid work model

Wellness contribution

Learning culture

Job summary

Nordnet Bank AB is seeking a Data Analyst to join Data & Insights, turning data into actionable insights for product teams in a fast-paced fintech setting.

You will work with Data Analysts, Data Scientists, Analytics Engineers and Data Engineers to deepen understanding of users and products and to design experiments that guide product decisions.

Qualifications

• Degree in economics, data science, statistics, engineering or mathematics.
• 3+ years experience as a Data Analyst in a product oriented organisation.
• Strong communication skills with technical and non-technical stakeholders.

Responsibilities

• Define analytical problems and determine the right approach.
• Conduct analyses on customer, financial, and company data to identify patterns.
• Design experiments to evaluate hypotheses and decisions.
• Utilise AI and advanced modelling to scale impact.

Skills

A/B testing

Communication

Ownership

Education

Degree in economics, data science, statistics, engineering, mathematics, or similar

Tools

SQL

Python

R

dbt

Job description

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 www.nordnetab.com,www.nordnet.se, www.nordnet.no, www.nordnet.dk and www.nordnet.fi.

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.