Job Description:

As a Senior Principal Data Analyst, you play a crucial role in analyzing data and designing end-to-end data solutions. You act as the point of contact for both the business and your data engineer colleagues. Your strong communication skills enable you to understand business processes quickly and effectively collaborate with your team to deliver successful end-products. Familiarity with Agile methodologies, Data Modelling, SQL, and possibly R/Python is beneficial.

Experience:

• Strong teamwork and stakeholder management skills with excellent communication and analytical abilities.
• Experience in data analysis using SQL, Python, and/or R.
• Familiarity with business intelligence, reporting, and dashboarding.
• Knowledge of 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:

• Fluent in Dutch and English.

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 value consulting. We help clients achieve end-to-end transformations by combining consulting with technology and data. Our team of enthusiastic IT professionals, with in-depth technology expertise, works with numerous clients in North-Western Europe. Our core values include 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 Valcon’s 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.