What you will do
• Transform & enrich data from various data sources to draw a holistic view of service health, possible issues & weak points
• Using statistical libraries and programming to identify, analyse, and interpret patterns and trends in complex data sets
• Respond to data-related queries from other WPS product teams & implement them jointly
• Analyze data and visualize results using Power BI and similar technologies
• Research new ways to make use of the collected data (e.g., apply AI for pattern recognition)
• Produce reports and charts communicating trends within data to non-specialists.
• Support product teams for the root cause & impact analysis during incident and problem management process
• Ideate data analytics requirements together with other WPS teams with various maturity in the data analytics area
• Support Data Engineers deploy data transformation python code using cloud technologies
What you bring
• Strong interest in data analytics and an appetite for sharing knowledge and experience together with less senior colleagues.
• Applying analytical thinking, methodological and conceptual skills to deliver valuable use cases.
• Ability to work with stakeholders to assess trends & potential risks and perform use case ideation to identify suitable use cases.
• Be able to lead requirements ideation with stakeholders and understand stakeholder needs
• Demonstrated experience in handling large data sets and relational databases
You have
• At least 3 years of practical experience within data analytics with hands on experience with python
• Good understanding of modern software design and development technologies, such as data lake, containers, DevOps and knowledge of cloud services such as Azure, AWS or similar
• Strong analytical skills with ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
• Technical expertise, previous experience working with data models, data mining, prediction models, and segmentation techniques.
• Strong knowledge of and experience with data storage (SQL, cloud storage etc), programming (python, SQL, PySpark etc.) and BI tools (Power BI etc.)
• Strong knowledge of statistics and applying statistical packages for analysing datasets
• Good interpersonal and collaboration skills as well as ability to jointly work with multiple groups
• Hands on experience in creating and deploying analytical dashboard solutions including understanding of design, development, deployment, data engineering and data management practices
• High English proficiency
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