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Title

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Data Validation Specialist

Description

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We are looking for a dedicated Data Validation Specialist to support our team in ensuring data quality and integrity. In this role, you will be responsible for reviewing, analyzing, and validating large datasets to ensure they are accurate, complete, and consistent. You will collaborate closely with various departments to identify and resolve data issues and contribute to the improvement of data quality processes. Your main tasks will include performing regular data audits, generating reports on data quality, and developing validation rules. You should possess strong analytical thinking and be able to understand complex data structures. Experience with database management systems, data analysis tools, and programming languages such as SQL or Python is advantageous. A successful candidate will demonstrate high attention to detail, organizational skills, and problem-solving abilities. You should be capable of working independently as well as part of a team and have excellent communication skills to convey technical information clearly. This position is ideal for individuals with a background in computer science, statistics, mathematics, or related fields who are passionate about data quality and management. If you enjoy working with data and contributing to the improvement of business processes, we look forward to your application.

Responsibilities

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  • Review and validate data for accuracy and completeness
  • Create and maintain validation rules
  • Collaborate with other departments to resolve data issues
  • Conduct regular data quality audits
  • Generate reports and documentation on data quality
  • Identify and correct data inconsistencies
  • Support the development of data quality standards
  • Analyze large datasets for error detection
  • Optimize existing data validation processes
  • Train staff on data validation tools and procedures

Requirements

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  • Degree in Computer Science, Statistics, or related field
  • Experience with databases and data analysis tools
  • Knowledge of SQL, Python, or similar programming languages
  • Strong analytical skills
  • High attention to detail
  • Good communication and teamwork skills
  • Experience in data quality management
  • Problem-solving and process improvement abilities
  • Self-motivated and organized work style
  • Understanding of data privacy and security

Potential interview questions

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  • What experience do you have with data validation?
  • Which tools and technologies have you used for data analysis?
  • How do you handle incomplete or incorrect data?
  • Can you describe a data quality project you worked on?
  • How do you prioritize tasks when facing multiple data issues?
  • How do you ensure validation rules remain up to date?
  • What challenges have you faced in data validation?
  • How do you collaborate with other teams to improve data quality?
  • What role does data privacy play in your work?
  • How do you stay updated on developments in data management?