Process Mining Analyst

Career Level - C3

Introduction to role

The Process Solutions CoE 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 has become 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 and workflows are built using these process models to generate the business insights needed to drive process performance improvements. We are looking for Process Mining Analysts to join the Process Mining team as we scale the capability and deliver process mining (Celonis) solutions across AstraZeneca.

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.

• 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

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When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, you will be part of a team of specialists that is essential to our growth. We are encouraged to apply entrepreneurial and innovative thinking in a creative yet rigorous environment. Our strength lies in our global, diverse network where we work seamlessly together to find new solutions that accelerate our impact. The business is committed to investing in our growth and development, keeping us ahead of our peers. Here, you have the opportunity to work on things you wouldn't get at other large organizations, making a significant impact through specialist capabilities and strategically important work.

Ready to make an impact? Apply now!

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AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.