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The Opportunity
We are looking for a Data Mining Analyst to join our Order to Cash Business Process Expert Team.
Mission:
He/she will help to maximize the performance of the organization through the implementation of processes for improving data quality as well as reporting and analytics tools and processes in Order to Cash. This will include analyzing user and data requirements, and procedures and problems to automate or improve data flows and systems. It will also include reviewing existing system and data capabilities, and workflow and process limitations.
What you'll get to do
Responsibilities:
- Analyze, validate and document reporting and analytics business requirements, processes and business rules to drive business solutions.
- Support technology design and re-design activities through interpretation and clarification of business requirements and processes and assess impacts of changes to other functional processes and systems.
- Lead and/or assist with the creation of business cases, ROIs, and other project related documentation, as required, with input from key business stakeholders
- Investigate and analyze opportunities to help improve data quality and business and reporting and analytics applications.
- Coordinate, support and help business users resolve day-to-day support issues including data, application software and operational systems.
- Assist and support project teams and business representatives throughout projects
- Manage projects or processes with limited oversight.
We'd love to meet you if you have
Experience and Qualifications
- Successfully completed degree in information technology, engineering, mathematics, Business Administration or sililar.
- A minimum of 2 years’ experience as a data analyst in the use of process mining tools (preferably Celonis and preferably in Order to Cash processes).
- Very good communication skills.
- Knowing how to programme in Python and SQL is a must.
- Must also have excellent computer skills in the creation of visually and verbally engaging reports, for departmental heads/management, senior data analytics management, and key stakeholders.
- Structured, accurate and responsible way of working.
- Analytical and solution-oriented thinking skills.
- Fluent in English.
Key Skills
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