De functie

Department 
At the Royal Schiphol Group, we have established a Data, AI & Analytics department (DnA), tasked with accelerating our group-wide transition to a truly data-driven organization. This department oversees the strategic use of AI, data and applied data science across the Royal Schiphol Group to identify growth opportunities and areas for innovation with new data products and services. The department is also responsible for data governance & quality frameworks, our centralized business intelligence function and the close connection with IT on a future-proof data infrastructure. 

Analytics is a relatively new capability in this department. This capability is responsible for: 

1. Identifying and exploring new opportunities for data;
2. perform one-off analyses to answer tactical or strategic questions;
3. advice on how to increase the value from existing data solutions for the airport.

The Analytics team works on a great diversity of datasets and data problems. To give you an idea: 

• Use occupancy and queuing data to gain more insight in the check-in process and hence prevent dangerous situations in the light of Covid-19;
• Explore opportunities in the airside process for using data to improve on time performance of aircrafts;
• Working with airliners, handlers, Day to Day operations and our process owners to reduce turnaround delay by analyzing process performance and providing fact-based advice for improvements.

What will you do? 

As a Lead Data Analyst you will be responsible for the Analytics capability (team of 15-20 FTE). You set the example by being involved in high-impact analyses. To do this, you have experience with tools like Notebooks, PySpark, Python, Matplotlib. Furthermore, you work with the business to first gain domain knowledge around different topics (e.g. luggage, passenger flow sensor system, assets, airport and airline process) to understand the problem and translate that into analyses for the team. From the different data sources available (in Schiphol these are many), you assess the potential value in the data and work with the business to define an approach to answer their critical questions. Besides non-formal interactions, you provide status updates to stakeholders (and your team) via reviews. As a deliverable you provide understandable reports and present the data-based results to the business to demonstrate value and drive informed decision.  

You will communicate with the rest of the DnA department to align the activities in the Analytics capability with other capabilities. You support the set up of quarterly targets for the team. You coach and give direction to the data analysts in the team. You further improve the analytics capability by driving initiatives that for example improve the tooling, way of working or collaboration. 

Lead Data Analyst summary: 

• Provides guidance to the business on analysis opportunities and which questions could be answered using data analysis;
• Facilitates the prioritization of projects to take on from an impact vs complexity trade-off and manages the portfolio of work for the team;
• Provides a long-term strategy for the capability, and helps with the execution of that strategy;
• Is ultimately responsible for all advice and recommendations given by the team and the quality thereof;
• Sets standards for tooling and way of working and is himself an expert in the field of Analytics;
• Responsible for the development and coaching of team members;
• Is the main point of contact of the team. Provides vision, ideas and communicates those to all relevant stakeholders.

Jij bent

Competencies and skills: 

• Expert in visualizing data and creating insights e.g. using dashboarding tooling or Excel/Think cell and translating insights into stories that are understandable for the business;
• Knowledge of performance management concepts, like KPI trees and business performance management frameworks;
• Has business sensitivity, understands how operational processes are organized in a complex organization;
• Good management skills, including stakeholder management, (agile) project management, expectation management and coaching;
• Broad understanding of data technology, like understanding the concepts of data engineering, data management, dashboarding, Analytics and AI;
• Communicative: fluent in English is a must. Knowledge of the Dutch language is a big plus.

You are knowledgeable and have experience with: 

• MSc degree in a relevant field, like Econometrics, Operations Research, Engineering, Mathematics, Business Analytics or similar;
• Experience 8+ years as a data analyst;
• Experience in leading a mid to large sized team.

Wij bieden

• A competitive salary ranging from € 4.979 and € 6.998 based on 36 hours (scale 14) depending on your knowledge and experience;
• 8,33% fixed end of the year bonus;
• Schiphol Go allows you to decide for yourself how you travel to and from work;
• We encourage travelling by public transport, which is why you will receive an NS Business Card;
• Smartphone, choice of iPhone 13 or Samsung Galaxy S21;
• Flexible working hours for an optimal work-life balance with a home-work allowance;
• We give you room for development on a professional and personal level. For example, there is a personal sustainable employability budget (for training, coaching, sports and leave);
• We promote an inclusive culture, which is why you are entitled to two diversity days, to be used on any day (including holidays);
• 2% Sustainable Employability Budget (DIB).

Apply directly

Do you recognize yourself in the above and does the vacancy appeal to you? Then we look forward to receiving your application. Send your motivation letter and CV online via the application button.

For additional information about this vacancy please contact our People Lead, Evelien Vleems via evelien.vleems@schiphol.nl. Do you have questions about the recruitment process? Please contact our recruiter Mark Blesma via mark.blesma@schiphol.nl.

Please note: an AIVD security screening (VGB B-Civil Aviation) is part of the onboarding.