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The Data, Automation and Analytics Services team within Global Business Services (GBS) has been established to deliver data and digital services 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. We drive data-led process performance improvements by transforming digital process data into process models using sophisticated process mining techniques. Custom analyses & workflows are built using these process models to generate the business insights needed to drive process performance improvements.
We are looking for a Process Mining Analysts to join the Process Mining team as we scale the capability and deliver process mining (Celonis) solutions across AstraZeneca.
Main duties and responsibilities
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 requirements
- Degree in Computer Science, Business Informatics, Economics or a comparable degree
- 1-3 years’ experience 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 visualisations to communicate process data effectively in a data visualisation tool
- 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 etc.) and related Source System datasets will be appreciated
- Excellent communication skills to work with stakeholders daily
- Energetic, organised and self-motivated
- Hands-on experience in a Process Mining Tool (Celonis, UiPath, QPR, Minit etc.) will be a strong advantage
Why AstraZeneca?
In our dynamic environment, be supported by the brightest minds working together side by side. Agile and collaborative, we work cross-functionally, as well as externally, to thrive at pace.
Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it’s yours.
Where can I find out more?
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecamexico/
Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
If you have site, country or departmental social media then feel free to switch any of the above links.
AstraZeneca is an equal-opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
