At a glance

Your job

• Expand the scope of Advanced Analytics and AI, developing cases that leverage the latest emerging technologies, fostering an innovative environment
• Engage in complex long-term projects, with focus on continuous delivery in small increments
• Understand different advanced data techniques and identify suitable ones that can help answering the question
• Stay curious and up to date with trends of technologies, advanced analytics, gen AI and cloud platforms (Databricks)
• Conduct data experiments on different datasets (products, transactions, channels, customers, CRM/ sales)
• Work both in individual contributor roles (leading project) and in collaboration / co-creating with multiple data scientists, data analysts, data engineers and machine learning engineers
• Extract actionable insights from large data sources, perform recurring or ad hoc analyses / reports
• Act as a data sparring partner with business stakeholders on smart KPIs & reports, with relevant insights for the right audience
• Translate business challenges into data questions, understand underlying processes for various products & services, and connect the dots
• Engage and guide non-technical stakeholders and team members on Advanced Analytics cases
• Collaborate with multidisciplinary teams and manage different stakeholders
• Practice the art of storytelling through numbers and effective visualization techniques
• Focus on continuous improvement and automation of existing deliverables
• Organize your work in a structured manner and effectively communicate to all parties involved
• Be curious, ask enough questions to deep dive and not hesitate to change/ challenge the status quo
• Remain proactive in coming up with ideas to improve/ solve (technical/ business/ data) challenges

Working environment

Your profile

• Degree in STEM or economics/business, with an analytics focus
• 6-8 years of work experience, with at least 3 years in data science field
• Exhibit high level of proficiency in programming languages such as Python, Py Spark, SQL and coding best practices
• Experience with Advance Analytics techniques (Forecasting, Prediction, Cluster Analysis, Machine Learning, Generative AI), and eagerness to learn and develop in that area
• A combination of analytical skills, intellectual curiosity, communication, and reporting skills
• Effective written and verbal communication skills in English (and Dutch)
• Experience with data visualization tools like Power BI or Tableau
• Great to have: Knowledge of the financial sector and/or banking products
• Great to have : Experience in working on azure/ Databricks/ or similar cloud platforms
• Great to have: Affinity towards technical topics including data and machine learning engineering
• Great to have: Microsoft DP-100 certification (Azure Data Scientist Associate)
• Nice to have: Knowledge of agile methodology, and ability to manage multiple priorities simultaneously
• Nice to have: Microsoft AZ-900 certification (basic knowledge of Azure cloud services)
• Nice to have: Microsoft PL-300 certification (Power BI Data Analyst)
  

We are offering

• The opportunity to pro-actively work on your vitality and fitness
• A competitive salary, fitting to your experience and expertise
• Additional benefit budget of 11%, which you can use to buy flexible working conditions
• A personal development budget of EUR 1.000 per year
• An annual public transportation pass or travel budget, depending on the function
• A solid pension plan
  

Are you Interested?

Equal opportunities for all

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