Beschreibung
• Lead and support the building and maintenance of end-to-end, scalable and flexible data pipelines as the basis for sophisticated analytics and business intelligence solutions that allow us to analyse and measure multichannel customer journeys• Understand, model, integrate and leverage data from different sources (e.g. ticket data, web data, unstructured text data) to enable the crew's data analytics experts to detect anomalies, calculate KPIs, predict volumes and satisfaction levels. Build in the automation and integration within the pipeline to enable “plug and play” data source integration, within technical and organizational context.
• Apply and further develop concepts and best practices for effective DataOps, driving efficient operationalization of analytics solution and reduce time to market end-to-end
• Act as the data steward for all stakeholders, pro-actively ensuring data consistency, readiness, completeness and detection of issues in all data pipelines using advanced concepts like statistical process control, machine learning, anomaly detection
• Ensure the information architecture is in line with enterprise standards and tools
• Help the team and stakeholders to understand and interpret data to derive actions and make decisions
• Coach the analytics team of 5 people with different profiles and ensure smooth collaboration among them, across locations as well as analytics and reporting counterparts from other teams
• Become an active member of analytics community