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Business Data Analyst, Helsinki

Published date more than one year ago
Posted: more than one year ago
Company Nordea
Company: Nordea
End date Sept. 1, 2019
Due date: Sept. 1, 2019
Location Helsinki
Location: Helsinki

We are looking for a Business Data Analyst who is passionate about using data to create a positive impact in a highly complex environment. This is an opportunity for you to join Nordea's Centre of Excellence for Advance Analytics, ML and AI and grow as an ambitious Business Data Analyst who helps all Business Areas become more data driven.Machine learning, robotics, cloud computing. We’re harnessing the power of technology to reinvent the future of banking. A digital revolution is underway – joining us puts you at the heart of it.Working with skilled, international teams in a fast-paced, agile environment, you’ll play a part in making us truly digital. We all have a role in building the best bank that serves our customers’ changing needs – through innovative solutions, collaboration and partnering with fintechs.Are you ready to embark on a learning journey where we lead the way and push the limits in transforming the future of banking?

Your future responsibilities

  • Work with business stakeholders in the design and planning of different use cases where data plays a key role in creating real value for our customers
  • Contribute in increasing and improving our analytical data foundation supporting a range of analytical solutions
  • Work in cross-functional teams building and testing prototypes to capture potential new business opportunities and to support decision making
  • Support the democratization of data access with self-service initiatives and create a strong data culture within Nordea

Who you are

  • Data analysis experience working intensively with SQL and BI tools
  • Team work skills in an international environment with high level of ownership
  • Good Business and IT stakeholder communication and presentation skills at all levels
  • Interest in Financial sector and how data be leveraged within a complex environment
  • Professional English language skills
  • Experience from positions as data scientist, analyst, developer or similar
  • Knowledge of Git, Hive, Python, Scala, R, Jupyter, Watson Studio (or similar programming languages and tools) and Big Data environments
  • Experience working in Agile teams