Data quality analyst

Data quality analyst.

Data quality analyst

Amsterdam

|

Contract

|

Data Analytics

Key Responsibilities:

  • Develop and implement data quality procedures and protocols to ensure data accuracy and consistency
  • Analyze and validate data using various data quality tools
  • Identify data quality issues and work with relevant teams to resolve them
  • Monitor and report on data quality metrics, and make recommendations for improvements as necessary
  • Develop and maintain reports and dashboards in PowerBI to visualize and analyze data
  • Collaborate with cross-functional teams to understand business needs and requirements, and translate them into data-driven solutions
  • Use Python to manipulate, transform, and analyze data as needed

Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, or related field
  • At least 2 years of experience in data analysis and data quality management
  • Experience with data quality tools such as Collibra, Talend, Informatica, or Trifacta
  • Proficient in Python for data analysis and manipulation
  • Experience with PowerBI for data visualization and reporting
  • Strong analytical and problem-solving skills, with the ability to identify patterns and trends in complex data sets
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Strong attention to detail and a commitment to data accuracy and consistency

If you feel you meet the qualifications for this position you can send me a message nick.wartena@darwinrecruitment.com

Darwin Recruitment is acting as an Employment Business in relation to this vacancy.

Nick Wartena

SUBMIT YOUR CV

Name_1
Max. file size: 512 MB.

UPLOAD CV WITH:

This field is for validation purposes and should be left unchanged.
WOMAN-WITH-TABLET3

MARKET INSIGHTS.

USE OUR ONLINE PLATFORM TO ACCESS ALL THE INSIGHTS THAT YOU NEED...

• Salaries; split by technology and seniority level.
• Time to hire; how long it takes to secure and start a new role, or source and hire talent.
• The average tenure of professionals per tech specialism.
• Gender split per location and tech specialism.
• Fastest growing skills per tech specialism.

This field is for validation purposes and should be left unchanged.