Responsibilities:
Build infrastructure to collect (un)structured (big) data.
Design, develop, test, deploy and maintain data pipelines.
Integrate data pipelines and reports in testing frameworks.
Monitor data pipeline stability and provide support.
Share knowledge and stay on top of latest developments.
Use SQL, R, or Python to retrieve and manipulate data.
Perform analysis to assess quality and meaning of data.
Create/maintain visualizations in Tableau, Qlik or Power BI
Liaise with internal stakeholders and/or external clients.
Realize automation of own solutions.
Optimize processes and tooling.
Manage and maintain (cloud) data platforms.
Use DevOps to Manage testing and release of data solutions.
Identify opportunities to increase efficiency or automate.
Qualification:
Bachelor’s, Master’s degree or PhD in Computer Science, Data Science, Mathematics, Statistics, Econometrics, Operations Research, (Cognitive) Artificial Intelligence or related/comparable field.
Experience: 1 to 3 Yrs
Key Competencies:
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Tech savvy
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Action oriented
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Collaborates
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Courage
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Demonstrates self-awareness
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Self-development
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Participate in continuous improvements and UAT
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Resourcefulness
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Collaborates
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Values differences
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Situational adaptability
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Demonstrates self-awareness
Other Skills:
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Excellent communication
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Knowledge of Agile methodologies
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Initiate improvements in discussion with lead/Manager Data Analytics.