The role

• Design and develop advanced reports and dashboards using various technologies (e.g. Qlik Sense/Power BI/Tableau);
• Utilize data and develop statistical models to create information management products and analytical solutions;
• Build data structures by gathering, identifying relationships and transforming big datasets;
• Perform queries and analysis to identify any anomalies and inconsistencies within developed reports, models and other analytical solutions;
• Monitor and optimize developed analytical tools and implement adjustments according to stakeholders requirements;
• Perform data-driven process mining and identify areas in processes that can benefit from optimization/automation;
• Understand business correlation of analyzed data;
• Work on Client projects together with other team members to develop solutions for process improvements;
• Keep up with the latest Technology and Financial Crime trends;
• Connect with the PwC network and share knowledge.

Candidate’s profile

• Min. 2 years of previous experience in Data Analytics roles;
• Analytical skills with ability to collect and analyse large datasets and draw appropriate conclusions (using e.g. Python / R);
• Very good knowledge of MS Office, in particular Excel;
• Experience in data querying technologies (e.g. SQL) and programming languages for process automations (e.g. VBA, UIPath, Alteryx);
• Experience in leading data visualisation/business intelligence technologies (e.g.Qlik Sense, Tableau, Power BI);
• Ideally, have experience with process mining tools such as Celonis or Perceptive and knowledge of Robotics Process Automation;
• Master’s degree (preferred in Statistics, Econometrics, Mathematics, Computer Science, Data Science, Big Data);
• Strong interpersonal skills, ability to build and maintain relationship;
• Ability to work well under pressure with high degree of accuracy.

We offer:

• Opportunity to broaden your professional experience;
• Work in a team providing services to reputable international clients;
• Possibility to work on projects abroad;
• Great atmosphere and a comfortable working environment.