Trwa ładowanie. Prosimy o chwilę cierpliwości.
Przeglądana oferta pracy jest nieaktualna
PwC
Data aktualizacji: 2020-11-12
Manager in Data Team
Nr ref. 103939WD
Warszawa, mazowieckie
Konsulting, Analiza
Data aktualizacji: 2020-11-12

Oferta pracy jest nieaktualna

Pracodawca zakończył rekrutację na to ogłoszenie

PwC is a powerful network of over 236.000 people across 158 countries. All committed to deliver quality in Assurance, Tax, Advisory & Technology Services.

As global game changers, our experts play big. Match your curiosity with continuous opportunities to learn, grow and make an impact. Join PwC and be a game changer.

PwC is a powerful network of over 250.000 people across 158 countries. All committed to deliver quality in Assurance, Tax, Advisory & Technology services. Match your curiosity with continuous opportunities to learn, grow and make an impact. Join PwC and be a game changer.

Manager in Data Team

 

The role:

  • Managing projects involving data management and quality control, data mining, data reconciliation;

  • Delivering DA projects using range variety of robust data mining tools (e.g. T-SQL, R, Python, SAS, VBA) for international clients (mainly working remotely with UK-based clients);

  • Designing and developing advanced reports and dashboards using various technologies (e.g. Qlik Sense/Power BI/Tableau);

  • Implementation of management reporting tools and BI solutions supporting decision making process;

  • Working on Client projects together with other team members to develop solutions for process improvements;

  • Managing finances and client portfolio;

  • Involvement in business development activities;

  • Solving complex technical issues;

  • Helping in managing and delivering large scale projects.


 

Candidate’s profile:

  • Min. 2-3 years of experience in managing projects in the field of data analytics / data science;

  • Analytical skills with the ability to collect and analyse large datasets and draw appropriate conclusions (using e.g. Python / R);

  • Experience in data querying technologies (e.g. SQL) and basic knowledge about 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);

  • Experience with process mining tools such as Celonis or Perceptive would be an asset;

  • Understanding the problems associated with data analysis from designing the solution (Data Mining / Machine Learning / Statistics) through its implementation (R / Python / SQL) to visualising the results (Qlik / Tableau / PowerBI);

  • Strong interpersonal and communication skills - necessary in everyday cooperation with clients and international teams;

  • Ability to solve complex problems;

  • Ability to manage your own and your co-workers work;

  • Excellent written and verbal communication skills – in Polish and English.

     

We offer:

  • Competitive salary;

  • Participation in international projects;

  • External and internal training;

  • Work in a growing  & dynamic team;

  • Work in a large, global and stable company;

  • Private medical care for employees and their families;

  • A rich package of social benefits (including Multisport card);

  • Convenient location in Warsaw city centre. 

PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process - list of entities: https://www.pwc.com/gx/en/about/office-locations/poland.html, with its registered seat in Warsaw (00-633), Polna 11 Street, („PwC” or “we”) will be the controller of your personal data submitted in your application for a job. Your personal data will be processed for the purpose of performing a recruitment process for the job offered. If you give us explicit consent, your personal data will be also processed for participation in further recruitment processes conducted by PwC and sending notifications about job offers in PwC or job related events organized or with the participation of PwC such as career fair. A full information about processing your personal data is available in our Privacy Policy.