Job Description:

Essential Job Functions:

• Guide, design, implement and/or maintain databases structures in a complex environment according to user specifications.
• Identify opportunities and solve business challenges to leverage information to expand the business and foster innovation; shapes and drives the analytics strategy to develop and/or enhance business model/s that provide business and customer insights that maximize business efficiency and outcomes.
• Collect and analyse metric data; prepare reports to support internal and external performance reporting requirements; build and apply basic to moderately complex measurement models on performance, prediction, quality, and other key business factors; analyses moderately complex metric data to enable management in decision making.
• Provide data mining and analytics support to create predictive modelling initiatives.
• Conduct statistical data modelling supporting a broad range of business and customer applications. Present alternative approaches and unique or innovative analyses as appropriate.
• Produces reports, charts and other trend analyses through the use and interpretation of data to describe current business situation/s. Identifies trends, patterns or exceptions that assist in predictive modelling initiatives.
• Assembling large, complex data sets that meet functional / non-functional business requirements.

Skills required:

• A natural inclination toward solving complex problems.
• Knowledge/experience on/with statistical programming languages, including R, Python, SQL etc., to process data and gain insights from it
• Experience applying and understanding data architectures.
• Knowledge and experience of Analytics cloud technologies including Microsoft Azure, AWS and/or GCP Analytics services.
• Knowledge and experience of Machine Learning techniques, including decision tree learning, clustering, artificial neural networks, etc., and their pros and cons.
• Knowledge and experience in prompt engineering, Gen AI models and RAG implementation.
• Knowledge and application experience in advanced statistical techniques and concepts, including, regression, distribution properties, statistical testing, etc.
• Experience/knowledge in statistics and data mining techniques, including, random forest, GLM/regression, social network analysis, text mining, etc.
• Ability to use data visualization tools to showcase data for stakeholders
• Excellent communication and presentation skills
• Experience preparing and managing documentation of (senior-level) client deliverables
• Working effectively in multi-disciplinary and cross-organizational teams
• Impulse to learn and master new technologies
• Good interpersonal and human relations skills to interact with users, Product Owners, scrum master Pod team members and other stakeholders. and a
• Master or higher degree in Informatics, Business Engineering, Computer Science or related technical discipline
• 3-5 years of field experience in a similar role
• Fluency in Dutch and English. French is considered an additional benefit

What you’ll get:

• A motivating salary package, including fringe benefits and flexible working hours, and possibilities to work from home • Being part of an ambitious and growing team.
• On-the-job training and access to our online platform “DXC-University”
• Opportunities to work with the latest technologies for a top range of customers.

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