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

Process Mining Analyst /Consultant

The Process Mining CoE within Global Business Services (GBS) is focused on delivering process digital twins and analytics driving actionable insights for our business.

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 Consultant 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 within the Process Mining team, the role will be responsible for the following activities:

• Identify required data sources, support data extraction and transformations (SQL)

• Identify and connect to various data sources across AstraZeneca (API, data warehouses, data lakes)

• Implement data extractions, transformations and build data models (SQL)

• Build analytics views, process explorers, KPIs & metrics, and dashboards

• Build automated workflows and low-code automations to facilitate pro-active process interventions

Essential requirements

• Degree in Computer Science, Business Informatics or a comparable degree

• Fluency with relational databases using SQL queries, data modelling etc.

• Fluency in producing data visualisations to communicate process data effectively in a data visualisation tool either in a Process Mining tool (e.g. Celonis) or other similar Analytics tools

• 1-3 years’ experience in Data Engineering / Analytics / Process Mining projects

• 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 is nice to have

• 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, Signavio etc.) will be a strong advantage

• Experience with source code version control and issue tracking (Bitbucket, JIRA, Confluence)

• Python programming skills appreciated but not required