Data Scientist

• Can critically assess the technical side of questionnaires (filters, routings, piping’s, etc.) and can recommend changes to implementation from analyses point-of-view during or after project implementation (e.g., based on database structure, technical check, etc.).
• Guide team members in executing quality checks and act as a knowledgeable sparring partner.
• Critically revise and finalize the technical side of research doc (filters, routings, pipings, etc.) of surveys with little complexity (e.g., simple quota tree, simple filtering with few conditions, simple routing).
• Recommend changes to implementation from analyses point-of-view during or after project implementation (e.g., based on database structure, technical check, etc.).
• Able to independently execute high-level data management (restructuring, merging, complex computations, etc.) to prepare for analyses and charting. For complex datasets, do this with assistance of seniors.
• Able to automate processing of the most common datasets by applying well-known techniques.
• Work efficiently, act as a reference in the domain and is a person to-go-to.
• Lead for analyzing standard projects and complete the analyses framework where needed and bring in added value independently.
• Able to identify trends and meaningful observations in large sets of data.
• Can apply univariate and bivariate analyses (frequencies, crosstabs, correlations, etc.) on any dataset, varying in complexity.
• Critically look at the dataset and spot new breaks to reveal underlying insights.
• Has a notion of commonly used multivariate analysis techniques.
• Able to apply commonly used charts and visualizations in the correct way (e.g., stack chart, line chart, etc.). The reporting makes it easy to digest data and attracts the reader to the most important findings.
• Able to set-up, update and maintain common online dashboards. Use different built-in modules to visualize large amounts of data with a complex structure (filtering, time series, etc.).
• Has a good understanding of the account and what drives client satisfaction.
• Can critically evaluate standard analysis process and/or steps.
• Can set up technical manuals or a step-by-step guide on how to analyses standard projects.
• Responsible for the technical implementation (incl. technical 4-eye) of surveys through specialized software (e.g. Survey Monkey).
• Able to overcome technical difficulties if the implementation goes beyond the standard template.
• Able to make basic modifications to the survey look & feel (e.g. change background, change colours & font, etc.) based on a provided design template.
• Make sure that the data collection happens without any mistakes and is optimized for analysis and reporting.
• Able to communicate directly with 3rd parties about technical specifications and know how to apply them in order to have them working correctly.

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Data Science Specialist