Head of Data and Analytics

Role overview

This position leads the data function across data science, business intelligence, and data engineering. The role is focused on shaping a strong data strategy, building reliable analytics foundations, and turning data into decisions that support business growth.

Key responsibilities

• Guide and support the teams working in data science, BI, and data engineering.
• Create and roll out a data roadmap that supports wider business objectives.
• Own the architecture, buildout, and upkeep of data platforms, including OLAP environments and column-oriented systems such as Redshift.
• Maintain high standards for data quality, consistency, and protection across systems.
• Define and track performance metrics for marketing operations and billing workflows.
• Apply statistical techniques and machine learning approaches to surface insights and improve marketing results.
• Work closely with teams across the business to understand data needs and deliver useful insights.
• Promote ongoing learning, capability building, and process improvement inside the data organization.
• Recruit and develop talent while assembling a team focused on impact and delivery.
• Keep pace with new tools, methods, and trends in data science, BI, and engineering.

Candidate profile

• Background in a leadership position within data science, business intelligence, or data engineering.
• Hands-on knowledge of internet and performance marketing.
• Strong understanding of OLAP, statistics, and machine learning.
• Comfortable working with SQL and columnar data stores such as Redshift.
• Experience using Python for analysis, machine learning, and data engineering, including libraries such as Pandas, NumPy, and SciPy.
• Exposure to JavaScript and HTML-based data visualization tools, including D3.js and Plotly.js.
• Ability to build interactive dashboards and visual outputs with HTML, CSS, and JavaScript frameworks.
• People leadership skills with the ability to coach, motivate, and manage a varied team.
• Clear communicator with strong collaboration skills.
• Strategic, outcome-driven, and focused on results.
• Bachelor’s or master’s degree in a related area such as Data Science, Computer Science, or Statistics.

What’s offered

• Competitive pay with an appealing bonus structure.
• An informal, energetic, and multicultural workplace in central Amsterdam.
• Opportunities for professional development, learning, and career growth.
• Budget and flexibility to join conferences, workshops, and training sessions.
• The opportunity to test ideas with a large user base in real time.
• Company-funded social activities, including an annual retreat.
• Visa support and relocation assistance where needed.

Location

This is an on-site role based in the United States.