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Data Quality & Optmisation Specialist Amsterdam Orange Quarter

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Gevraagd

  • 37 - 40 uur
  • Medior/Senior
  • Engels (taal)

Aanbod

  • Vast contract
  • Bonusregeling
 

Vacature in het kort

Amsterdam
Join a fast-growing Market Place Intelligence Platform as a Data Quality & Optimisation Specialist. In this role, you'll ensure data accuracy and optimise workflows, collaborating with various teams to enhance data processes. You'll work with SQL, Python, and Power Query. Enjoy perks like a performance bonus, remote work policy for two weeks per year, and regular team events. Be part of a dynamic team that provides insights to major players in the food sector and beyond. Read on to see what career growth opportunities this role offers.
 

Over het bedrijf

Orange Quarter
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Bedrijfsprofiel
 

Volledige vacaturetekst

We’ve partnered with one of the fastest growing businesses and the fastest growing Market Place Intelligence Platform in the country.

The platform provides market intelligence by combining publicly available company and market data with domain and tech expertise. It delivers actionable insights that help businesses benchmark competitors, monitor market trends, and make data-driven strategic decisions. The platform is widely used by major players in the food sector and beyond to gain a clearer understanding of market dynamics and competitive performance.

What to expect:

They’re now looking for a Data Quality & Optimisation Specialist to take ownership of data accuracy, consistency, and workflow optimisation across their platform. In this role, you’ll have the opportunity to influence the company’s approach to data entry, optimisation, and automation, working closely with multiple teams to build scalable and efficient data processes.

You can expect to work with SQL, Python, and Power Query.

Perks:
  • Performance Bonus
  • Remote Work Policy for 2 Weeks per year
  • Regular Team Events and Offsites

Requirements:
  • 5+ Years of experience in Data Quality, Data Entry, or Data Operations
  • Experience with SQL
  • Experience with Data Transformation Tools
  • Strong Communication Skills
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