Analytics Engineer

About the opportunity

As an Analytics Engineer you build the foundations for data-driven decision making at N26. You will closely collaborate with the rest of the data community and business stakeholders to ensure our data models are accurate, relevant and updated. You are here to establish a data-mindset and thereby to foster a culture of continuous learning and improvement.

You will work in a central analytics engineering team supporting product teams and their embedded analysts in one or more business areas. You’ll be using the following tech stack:

Our cloud provider is AWS, and we use lots of different tools and services they provide.

Redshift is our main Data Warehouse and the main tool you’ll be interacting with

For our data transformations, we use DBT

Our business intelligence tool for data visualizations and dashboarding is Metabase

We use python as our go-to language for any automations and more complex pieces of software.

In this role, you will

Provide clean data models to users, modelling data so business stakeholders are enabled to answer their own questions.

Transform, test and deploy data projects, applying software engineering best practices of version control, continuous integration, testing, documentation, and clean coding.

Improve our analysts and business users workflow, optimising their time when working with data.

Create tests for our datasets, to guarantee a good level of data quality.

Troubleshoot eventual problems with our transformation pipeline, coming up with solutions to complex problems.

Building and managing data models for BI tools.

Active in whiteboard sessions, contributing to the process of ideating new services and tools.

What you need to be successful

2+ years of experience as a Data Analyst, Data Engineer, Software Engineers, Analytics Engineer or other quantitative discipline

Strong experience querying data with SQL and experience with Python.

Experience with ETL/ELT processes, data modelling and data ware