Accountabilities
Working alongside the Senior Managers and Process Mining Consultants within the Process Mining team, the role will be responsible for the following activities:
- Identify and connect to various data sources across AstraZeneca (API, data warehouses, data lakes)
- Implement data extractions & transformations (SQL, Python)
- Create data models & process knowledge models
- Build analytics views and dashboards (using PQL i.e. Process Query Language)
- Build automated workflows to facilitate pro-active process interventions using the Process Mining platform low code language
- Support Process Mining Consultants in delivering process insights and helping answer key business questions about processes.
Essential Skills/Experience
- Degree in Computer Science, Business Informatics, Economics or a comparable degree
- 5-6 years’ of overall experience and 1-3 years’ of relevant working on Process Mining or Process Data & Analytics projects.
- Experience working with relational databases using SQL queries
- Python programming skills appreciated but not required
- Experience with source code version control and issue tracking (Bitbucket, JIRA, Confluence)
- Experience in producing visualizations to communicate process data effectively in a data visualization tool.
- Analytical skills to be able to discover, analyze and draw insight from complex datasets.
- Knowledge of at least 1 functional area processes (Finance, HR etc.) and related Source System datasets will be appreciated.
- Excellent communication skills to work with stakeholders daily
- Energetic, organized and self-motivated
- Hands-on experience in a Process Mining Tool (Celonis, UiPath, QPR, Minit etc.) will be a strong advantage