Role Overview
As a Junior Data Quality Analyst, you will play an essential role in delivering high-quality, actionable risk insights to clients. You will be responsible for analyzing, assessing, and improving the quality of large-scale textual datasets that fuel an AI-driven risk monitoring platform. Working closely with the product, data science, and engineering teams, you will help ensure that clients receive accurate, relevant, and timely data to support their decision-making processes.
Key Responsibilities
- Design, develop, and optimize queries for entity matching, entity disambiguation, and event classification to improve data accuracy and relevance.
- Perform ongoing data quality assessments and audits to detect and resolve anomalies, inconsistencies, and gaps within complex datasets.
- Collaborate with clients to understand their data needs and ensure delivered insights meet quality and business requirements.
- Develop and maintain scripts and tools to automate data validation workflows and improve efficiency.
- Work closely with cross-functional teams to troubleshoot data issues and support product enhancements.
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Business Analytics, or related technical field.
- Strong proficiency in Python and SQL, with experience in data querying and manipulation.
- Excellent analytical and problem-solving skills with a keen eye for detail.
- Ability to clearly communicate complex data challenges and solutions to technical and non-technical stakeholders.
- Comfortable working collaboratively with diverse teams including engineers, data scientists, and client-facing colleagues.
Salary Package:
- Up to €50,000
- Flexible Hybrid working
- Pension Plan
- Clear career path
Key Skills
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- Posted
- Jul 02, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Amsterdam
- Company
- Vivid Resourcing
Industries
Categories
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