Role Overview
The Data Analysis & Innovation team is responsible for further developing and implementing the Data-Driven Supervision Strategy (DGT) of LSR. This team translates supervision questions into data solutions.
What You Will Do
Work with supervisors to signal risks for consumers in time, develop data products that translate insights into targeted actions, and implement reliable and scalable solutions for more effective supervision.
Why It Might Be a Fit
We are looking for an analytically strong individual who can work together and contribute to the team’s success, while also being able to work independently and turn analyses into concrete and useful results.
Requirements
- Completed WO education, for example, Data Science, Business Analytics, Mathematics, Econometrics, Technical Business Administration, or a comparable (beta) study with a strong analytical or statistical component
- At least 2 years of work experience and knowledge of the data/science field and the associated tools and techniques
- Experience with Microsoft Power BI, SQL, Python, Azure Data Bricks
- Knowledge of software development, version control, code review, and unit testing
- Analytically strong: the ability to analyze complex datasets, recognize patterns, and generate insights
- Proactive attitude: you work together and contribute to the team’s success, while also being able to work independently and turn analyses into concrete and useful results
- Communicative skills: you can clearly and concisely convey complex technical information to non-technical colleagues
- Experience with data visualization to make data understandable and accessible for various stakeholders
Benefits
- 1-year contract with a view to a permanent employment contract
- Gross annual salary between €52,500 and €103,500
- 36-hour workweek, including 13th month and holiday pay
- 199.5 vacation hours per year
- Laptop and a smartphone
- Comprehensive training and development opportunities
- Full reimbursement of public transportation costs (2nd class)
- Home working allowance for home working days
- Contribution to a gym membership
- Attractive secondary working conditions such as a bicycle and device scheme and reimbursement for your home working place
To apply for this job please visit linkedin.com.
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