Data Analyst
StockholmCompetitive0 applicants
About this role
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.
Responsibilities
- 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
- Hand