• 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

• 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

• 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, Dev Ops 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, Py Spark 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