Analytics Engineer for Analytics in PeB Denmark

Job ID: 1326

Analytics Engineer for Analytics in Personal Banking (PeB) Denmark 

We are growing our team in PeB Analytics in Denmark. We are looking for a person that loves working with data and analysis to join our existing Analytics team. In PeB we are a group of specialists in various fields: everything from digital marketing and content production to web analysis and data science. Collectively, we are responsible for engaging new and existing personal customers in digital and offline channels, and driving sales and engagement. 

Every day, we work hard to ensure that each individual customer or employee in Nordea receives personalized follow-up and advice. We relevant at the right time in a personalised approach.  

Joining us means you’ll have an impact on how we do banking – today and tomorrow. So bring your ideas, skills and unique background. With us, you’ll be in good company with plenty of opportunities to collaborate, grow and make your mark on something bigger. 

About this opportunity   

This is a role within Personal Banking Analytics Denmark / Personal Banking Denmark. In Personal Banking we are building the omnichannel customer journey seamless experience and for that we need to connect different data sources across our platforms and applications. We want to send relevant personalised messages to our customers offering the right product or service, in the right channel, at the right time. 

We are looking for a curious and driven Analytics Engineer that is responsible for development and maintenance of local data storage to enable data availability and efficient utilization possibilities for local analytics team members. You will be providing clean, accurate and high quality datasets. These tasks are crucial part of implementing our Data and Analytics Strategy. You will collaborate with pears from a Nordic point of view to drive these initiatives from a Nordic Scale point of view. Note that this is more a business role than an IT role. 

Joining the team will provide you with opportunities to use your experience with data management, data analysis, data engineering and business analysis, to support data-savvy end-users.  

What you will be doing 

As the Analytics Engineer, you will empower end users to answer their own questions regarding for instance product portfolio analysis, sales funnels, campaign performance and customer segmentation. You will be working on setting up clean data sets and data modelling/structure that allows us to have the same view across different teams. This means making use of the infrastructure available in Nordea to write data transformation jobs through code and create reusable data assets for analysts and data scientists that get updated in an automated way with a given frequency. 

In addition you will be: 

• Extracting the underlying data from existing databases and centralizing it to a local data storage  

• Driving Data Strategy with Nordic initiatives  

• Writing (complex) data transformations in SQL, using the available data building tools in Nordea, that will create the metrics needed for the analysts 

• Documenting the process for building the different data sets to ensure a high quality foundation for data analysist/scientists. Maintaining data documentation and definitions 

• Collaborating very close with Data Scientists and Business requestors within PeB Denmark and Nordic counterparties 

• Participating actively in development initiatives within Digital Sales teams to expand the usage of data in marketing campaigns 

• Supporting the maintenance or development of reports and analysis tools (e.g. PowerBI, Airflow and DBT)  

Who you are 

You are a person who understands data. You can analyse it to answer queries, but also understand where potential limitations exist and can creatively resolve them in either a tactical or strategic manner. You have a blended profile of skills and mindset of a data engineer, data scientist and a data analyst. You take ownership of your tasks, and enjoy data gathering, cleaning, engineering, and documenting as you build. 

You have good interpersonal and communication skills to ask the right questions to stakeholders and colleagues. You are comfortable working on your own but also as part of a small team. You thrive in a cross-functional set up. 

To build a successful career with us, you’ll work well with others and always act with customer’s needs in mind. You love learning and trying new things, and you’re excited about bringing your ideas to the table. You’re honest and reliable. You’re passionate about doing a great job. 

To succeed in this role, we believe that you are/have: 

• Knowledge of software/data engineering best practices 

• Can sketch a data model/data structure and implement it 

• Able to clearly communicate complex issues in an easy and understandable manner to a wide range of stakeholders 

• A team player - work closely with other specialists, involve stakeholders always asking questions and investigating alternative solutions 

• Innovative, openminded and excited about bringing your ideas to the table. You strive for continuous improvement and love learning and trying out new things 

• Dependable, willing to speak up even when it’s difficult, and committed to empowering others 

Your experience and background: 

• Academic degree in highly quantitative discipline or specialisation such as Computer Science, Mathematics, Statistics, Engineering, Software Engineering 

• 2-3+ years of experience working in data-driven landscapes. Ideally you have experience as a data engineer and have discovered the business aspect, or you have been working as a data analyst and have strong tech experience 

• Strong SQL skills. Knowledge of Bitbucket, Dagster, dbt, Bamboo. Our main platform is Snowflake 

• Proficient in written and spoken English 

• To be able to write and speak Danish is an advantage 

Your application will benefit from demonstrating experience in the below: 

• You know your ways around tools like Snowflake, Airflow, DBT, Git and Power BI 

• Skills in web frameworks such as Angular 

• Experience in data analysis, e.g. Python & R 

• You understand the principles of working with an Agile development approach 

The role is based in Copenhagen, Denmark. 

If this sounds like you, get in touch!