Principal Data Analyst

As a Principal Data Analyst, you play a vital role in analyzing data and designing end-to-end data solutions. You act as a key liaison between the business and your data engineer colleagues. Your expertise in data science, analytical skills, and knowledge of Agile, Data Modelling, SQL, and possibly R/Python enable you to understand business processes quickly and effectively collaborate with your team to deliver successful end-products.
Strong teamwork and stakeholder management skills with excellent communication and analytical abilities.
Experience in data analysis using SQL. Knowledge of Python and/or R is a plus.
Experience with business intelligence, reporting, and dashboarding in general.
Familiarity with Agile, Scrum, and DevOps methodologies is advantageous.
Fluent in Dutch and English.

One of the leading and biggest companies in North-West Europe in the field of (data) consulting and digital transformation.

Bachelor’s degree in Computer Science (BSc).
Master’s degree in Computer Science (MSc).
Familiarity with Agile Project Management.

2 days per week at the office, 3 days remote.

In short, we are a no-nonsense consulting firm focused on delivering value consulting services to our clients. We help clients with end-to-end transformations by combining consulting with technology and data. Our team consists of driven IT professionals with in-depth technology expertise. We work with a diverse range of clients in North-Western Europe, including renowned companies such as Heineken, Alliander, ABN AMRO, and Axcel. Our core values are Can-do, Together, Curiosity, Integrity, and Joy.
The team consists of 20 people who primarily communicate in English.
Understand business processes and translate business needs into data requirements for cloud-based data solutions, such as data platforms or dashboards: 8 hrs.
Translate business questions into concrete and testable hypotheses: 4 hrs.
Analyze data sets and prepare workload for data engineers and modelers: 8 hrs.
Support analytical end results through appropriate data visualization using tools like PowerBI: 4 hrs.
Train and guide junior consultants in the above responsibilities: 4 hrs.
Co-develop Data Analysis and Data Modelling propositions: 8 hrs.
Build and maintain a relevant network with current and new customers: 4 hrs.
Total per week: 40 hrs.