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Zoek in 110 vacatures voor Big Data specialisten

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Risk Assurance Data Analyse Associate - PwC

Locatie: Amsterdam

As an Associate, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution.

Job Description & Summary
A career within Information Technology Risk Assurance services, will allow you to develop and apply strategies that help clients leverage enterprise technologies so they can get a higher return on their investment, mitigate risks, streamline processes, and find operational inefficiencies. We assist clients in understanding and challenging their current risk profiles and develop strategies to build digital confidence by embracing opportunities to stay competitive through building trust and resilience into their technology systems. We cover a wide range of disciplines, including risk evaluation, operational and strategic Information Technology processes, project governance, application implementation, data integrity, cyber security, and accounting/audit.

Responsibilities
As an Associate, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:

  • Proactively assist the team in various aspects of the project
  • Prepare deliverables
  • Contribute to the development of your own and team’s technical acumen
  • Keep up to date with local and national business and economic issues
  • Ensure you are adhering to compliance matters
  • Work on developing internal relationships and your PwC brand

Location:

Amsterdam

Information and application:

Apply:

Please send your application for Risk Assurance Data Analyse Associate at PwC in Amsterdam including your CV via our website.

Job code:

9344WD

Job posted

19 maart 2019
Apply Now

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Carrière als Big Data specialist

Onze (digitale) wereld is steeds meer data gedreven. Door verschillende databronnen te combineren en gebruik te maken van slimme algoritmen, kunnen voorheen onzichtbare verbanden worden blootgelegd, waarbij het niet alleen draait om data volume, maar ook om een specifieke manier van denken. De vraag naar Big data specialisten is groot en zal verder toenemen.

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Nienke Smit
Nienke Smit
E-mail
06-41454957

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Pieter Lammers
Pieter Lammers
E-mail
06-41454956

Linkedin   Twitter