The Process Mining COE within Global Business Services (GBS) has been setup to deliver process mining and analytical capabilities to AstraZeneca and lower costs to serve. The Process Mining team have established themselves as a pivotal advanced analytics capability that can unlock processing capacity and value at AstraZeneca through automated process discovery, analytics, and automated decision-support workflows.

• Work closely with business collaborators and manage a team of Process Mining Consultants in order to deliver end-to-end Process Mining projects
• Translate business requirements into data/process models using process mining techniques
• Identify required data sources, support extraction and transformation (ETL) and develop visualizations in order to deliver process insights to collaborators
• Build automated workflows to facilitate pro-active process interventions.

• Degree in Computer Science, Business Informatics or a comparable degree
• At least 3 years’ experience working on Process Mining or Process Data & Analytics projects
• At least 1 year experience in project management and/or managing analytical teams
• Fluency with relational databases using SQL queries on large datasets is a must
• Experience in producing visualisations to communicate process data effectively in a data visualisation tools (Celonis/Tableau/Power BI or similar)
• Analytical skills to be able to discover, analyse and draw insight from complex data sets
• Knowledge of at least 1 functional area processes (Finance, HR, R&D, Operations etc.) and related Source System datasets nice to have
• Superb communication skills to work with collaborators daily
• Energetic, organised and self-motivated
• Hands-on experience in a Process Mining Tool (Celonis, UiPath, QPR, Minit, Signavio etc.) will be a strong advantage
• Python programming skills appreciated but not required
• Fluent in business English.