Ready to shape the urban landscape of tomorrow?
Join JCDecaux, the world's leading company in outdoor advertising!
Imagine having a daily impact on the lives of more than 850 million people worldwide.
At JCDecaux, this is our reality!
For over 60 years, we have been reinventing cities by designing innovative and aesthetic communication solutions, from intelligent street furniture to spectacular digital screens in airports.
Present in more than 80 countries with a team of 13,000 talents (including 350 passionate individuals in Belgium and Luxembourg), we are on the brink of a new urban era: smarter, connected, and sustainable.
Driven by our values "Stronger Together" and an ambitious climate strategy, we are looking for brilliant and committed minds to innovate with us.
Choosing JCDecaux means joining a strong company, a leader in its market, where kindness, continuous training, and retention (10 years average seniority!) are realities.
Job description
- Be our marketing data expert: Analyse measurements and translate it to concrete actions and improvements. Modelize where necessary and prepare them for integration in our tools, such as our planning and allocation system.
- Modelling & data processing: build, calibrate and document our OOH audience models (footfall per panel and per hour, reach & frequency, audience segmentation scoring) based on mobility, sensor and panel data, and link them with other data available in our tools.
- Gatekeeper of data quality: analyse datasets to define and control quality rules. Making sure that the data remains maintenance friendly and reliable. Document our methodologies so they can be explained and defended towards agencies, advertisers and measurement bodies.
- First-party data & clean rooms: match audiences and measure campaign impact (exposed vs. control groups, lift studies, store visits) with advertisers’ first-party data in data clean rooms, with a privacy-by-design approach (GDPR, aggregation thresholds).
- Our data reporting wizard: Starting from raw data: Structure and visualize the data into datasets and graphics in a way that all stakeholders can immediately use them in their day to day.
- Optimization of data infrastructure: responsible for optimal placement, data analysis, inventory management and technical understanding of wifi sensors in order to get the most efficient data collection.
- Collaboration with different stakeholders
Description of the profile
- You have a bachelor's or master’s degree in data science, computer science, statistics, geomatics, physics, economics or equal by experience.
- You have at least 4 years professional experience as a data scientist Experience in OOH or media is a plus but not required.
- You master Python and advanced SQL, work comfortably with a cloud data warehouse (Snowflake, BigQuery…), APIs and data pipelines, and use Git.
- You are proficient in Microsoft Office applications and adept with data visualization tools like Power BI, with a talent for quickly mastering new software. Strong affinity with AI solutions suitable for data. Nose for AI solutions in order to get more efficient processes and data.
- You possess a unique blend of analytical skills, precision and efficiency with an eagerness to explore new data and AI developments.
- You are organized and able to navigate between various tools and applications.
- More than anything else, you are driven by a strong desire to learn and the ambition to grow within JCDecaux BeLux organization.
- You have a perfect command of French and Dutch (essential for meetings) and know English (for creating presentations and to communicate with international teams).
- You will report directly to the Head of Data & insights.
We offer
- An attractive gross salary
- A year-end bonus based on goals achieved
- Insurance (group & hospitalization), meal vouchers, and eco-vouchers
- A company car or mobility budget
- 12 days of extra day-off in addition to the 20 days of statutory vacation
- After a training period, 2 days of remote work per week
- Beautiful offices in the trendy Sablon neighborhood as well as in Relegem