POSITION OVERVIEW
The Data Analyst, Business Analytics Support will support the functional departments within the Business Analytics & Process Excellence such as S&OP and Data Innovation while continuously improving and contributing towards the reporting automation products. In addition, they will be involved in Customer related CI Projects and Strategic Product development of new and existing customers from FSL and MRO.
GENERAL RESPONSIBILITIES
- Code and develop reproducible reporting and analysis while supporting ppt story line prep towards Customer Performance Analysts (CPA) and Customer Success Managers (CSM).
- Drive analysis to assist CSM/CPA teams in tracking KPI development and detailed deep-diving root cause analysis of the customer challenges and propose/quantify opportunities.
- Own parts of the Customer Dashboard and Performance Manager platform and establish Monitoring and Reporting using agreed or new suggested KPIs.
- Support the implementation and use of a new Unilode Portal, including multiple layers of dashboards and apps for internal and customer reporting.
- Work jointly together with IT to optimize existing data productions and solutions while also working on supporting building the future advanced EDW (Enterprise Data Warehouse) and the Universal Messaging Hub.
- Contribute to data product development of new exciting state of the Art solution for future commercialization.
- Additional duties as assigned.
QUALIFICATIONS
- University Degree – science or Informatics related.
- Degree Level (MSc) preferred.
- 2-3 years experience working in a development environment
- Experience in defining and implementing platforms for KPIs and data analysis/insights.
- Knowledgeable in one or multiple of the following programming languages: R / Python / SQL / VBA / Java Script
- Agile Project Management knowledge and capability to work in a CI/CD environment of Git
- Extensive storytelling (presentation) capability in messaging complex info and analytical findings.
- Excellence knowledge of Microsoft Office applications and reporting platforms.
- Robust analytical and quantitative skills, as well as attention to detail.
