Senior Manager in Process Mining at AstraZeneca managing analytics projects and leading consultants. Driving data-led performance improvements and developing process mining solutions.
Responsibilities
Collaborate with business collaborators and lead a team of Process Mining Consultants to complete end-to-end projects that deliver tangible value
Translate business requirements into data/process models using process mining techniques
Identify necessary data sources and support your team with data extractions, transformations (ETL), and visualizations to deliver insights
Develop automated workflows to enable proactive process interventions
Requirements
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 a managerial position focusing on project management and/or managing analytical teams
Fluency with relational databases using SQL queries on large datasets
Experience in producing visualisations to communicate process data effectively in data visualisation tools (Celonis/Tableau/Power BI or similar)
Hands-on experience in a Process Mining Tool (Celonis, UiPath, QPR, Minit, Signavio etc.)
Knowledge of at least 1 functional area processes (Finance, HR, R&D, Operations etc.) and related Source System datasets is nice to have
Python programming skills are appreciated but not required
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