Location: Warsaw, Poland

Hybrid model of work: 3 days in office, 2 remote per week

The Process & 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 unlocks 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 an insights analyst and data engineer to join the Process Mining team as we scale the capability and deliver process mining solutions across AstraZeneca.

Main Duties And Responsibilities

Working alongside the Senior Managers within the Process Mining team, the role will be responsible for the following activities:

• Work closely with stakeholders to help answer key business questions about the process
• Develop custom process models using process mining techniques
• Build business intelligence dashboard reporting and more sophisticated programmatic solutions to deliver process insights to stakeholders
• Build automated workflows to facilitate pro-active process interventions
• Leverage most recent AI and ML models to maximise the value process mining delivers for AstraZeneca
  
  

Essential Requirements

• Degree in Computer Science, Data Science or a comparable degree
• 1-3 years experience working with data & analytics
• Experience working with relational databases using advanced SQL queries
• Knowledge of ETL
• Ability to produce visualisations to communicate data effectively with experience in a data visualisation tool
• Analytical skills to be able to discover, analyse and draw insight from complex data sets
• Good communication skills to work with non-technical stakeholders
• Energetic, organised and self-motivated