Compensation Analyst II at Dairyland supporting compensation administration and implementation. Conducting salary surveys, market analyses, and ensuring compliance with compensation practices.
About the role
- Data & Analytics Analyst designing tailored solutions for clients with impactful data-driven results. Collaborating within a diverse team on quantitative challenges across multiple industries.
Responsibilities
- Collaborate with colleagues and clients at all levels from your very first day, helping clients solve their most pressing challenges
- Develop tailored solutions for clients around the globe, including designing potential solutions for analytical challenges, implementing various prototypes while also assessing their effectiveness, and engaging in discussions with clients and colleagues to share ideas
- Work on notable projects including developing an NLP-based machine learning toolkit, modelling portfolio decarbonization strategies, optimizing a promotional program, validating a GenAI chatbot, developing probability of default and loss models, and identifying supply chain risks
Requirements
- Bachelor's, Master’s, or PhD in a quantitative discipline from a top academic program (Data Science, Mathematics, Natural Sciences, Statistics, Computer Science, Engineering, etc.)
- Data-driven mindset and proficiency with numbers, paired with the ability to explain sophisticated data science concepts in an understandable manner to clients and colleagues
- Ideally, programming skills in Python or R, but more importantly, an eagerness to continuously extend your knowledge of technologies
- Strong commitment to teamwork and resilience in a creative and constantly changing environment
- Excellent command of German & English (verbal and written)
- Interest and experience in financial services and risk management is a plus
Benefits
- International travel opportunities
- Flexibility to balance career aspirations with personal life
- Dedicated buddy, career adviser, and talent manager for guidance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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