Job Description:
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.
Experience:
- 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.
Competitive USPS/Summary:
- One of the leading and biggest companies in North-West Europe in the field of (data) consulting and digital transformation.
- Full-service data solutions.
Matching Requirements:
Must:
- Dutch and English fluency.
Preferable:
- Experience with DevOps.
- Knowledge of Scrum.
- Bachelor’s degree in Computer Science (BSc).
- Master’s degree in Computer Science (MSc).
- Proficiency in SQL.
- Familiarity with Agile Project Management.
- Proficiency in Python.
Working Conditions:
- 2 days per week at the office, 3 days remote.
- 25 vacation days.
Company Culture:
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: The team consists of 20 people who primarily communicate in English.
Responsibilities (per week):
- 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.