Analytics Engineer

Who we are
Over the course of the past five years Instabox has grown from a small logistics company to one of the fastest growing Last Mile Delivery companies in the Nordic region. Our journey has taken us from Sweden to Norway to Denmark and now the Netherlands, and we are just getting started. As we continue to grow, so does the complexity of our business and the need for reliable and accurate data analysis in order to guide our decisions. Hopefully that is where you come in.

As we expand our business we understand that skilled data professionals with a strong focus on internal stakeholders as well as our end user is critical, your mission will be to make our data understandable for everyone.

What you will be doing
Within the Business Intelligence team, you will get the opportunity to shape how Instabox builds its data warehouse which services everyone in our organization and enables us to make better decisions. The data warehouse is a key asset that we use for multiple data processing purposes; while traditional BI is one use case we deploy, we also service data science investigations and create endpoints for our technology teams to use in our products and services.

Why an Analytics Engineer
Over recent years the data engineering tasks of building source to target ingestion jobs has been replaced by automation products such as FiveTran, Stitch etc. The intersection of data analysis and engineering has seen the emergence of the Analytics Engineer where data ingestion is a solved problem, and the value focus is on data modelling in SQL and building actionable intelligence and Visualisations.

As an Analytics Engineer we’ll expect you to:

- Design and build data models that support business processes and where governance and trust in data are critical
- Be an expert in data transformation techniques using SQL and here at Instabox we use DBT to automate this
- Build visualisations and perform data analysis that can shared with stakeholders in Tableau
- Be curious and involve yourself in research on analytical projects to help answer a hypothesis or solve an idea a stakeholder might have
- Have an interest in working with data science techniques
- Demonstrate an appetite to try new approaches, staying up to date with market trends and advances in data processing
- Be comfortable promoting your work both internally and externally


We think you are a person who...

- Will have a minimum of 3+ years’ experience in a Data Analyst, Data Engineering or Data Scientist role
- A university degree in an analytical field (e.g. Mathematics, Computer Science, Physics)
- Has strong knowledge of SQL and command of analytical functions
- Understands data modeling techniques and their value in delivering end user self-service
- Has good programming skills coupled with using source control
- Has an appreciation and appetite to progress into the data science space
- Is able to use a data visualization and methodical approach to communicate your analytical findings
- Understands the value of modern cloud computing and SaaS tools we have in play at Instabox (FiveTran, Snowflake, DBT, Tableau)
- Is a passionate self-starter that enjoys taking the initiative to find solutions to obvious and hidden problems and has a deep interest in putting data to work


We offer you The chance to be part of something truly amazing. The journey ahead is what excites every Instaboxer working here today and we are just getting started. Then there is the compensation package, benefits, centrally located office etc. but we’ll get to that in due time.

If you’ve read this far there is clearly nothing stopping you from clicking the apply button. We look forward to meeting you.