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Title

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Validation Analyst

Description

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We are looking for a meticulous Validation Analyst to join our team. The Validation Analyst will be responsible for analyzing and validating data to ensure accuracy, consistency, and integrity. This role involves working closely with various departments to understand their data needs, developing validation rules and processes, and implementing these processes to ensure data quality. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a keen eye for detail. They should also have a solid understanding of data management principles and be able to communicate effectively with both technical and non-technical stakeholders.

Responsibilities

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  • Analyzing and validating data for accuracy and consistency.
  • Developing validation rules and processes.
  • Implementing validation processes to ensure data quality.
  • Working closely with various departments to understand their data needs.
  • Communicating effectively with both technical and non-technical stakeholders.
  • Identifying and resolving data discrepancies.
  • Preparing reports on data validation results.
  • Maintaining documentation of validation processes and results.
  • Providing training and support to staff on data validation procedures.
  • Keeping up-to-date with the latest data validation techniques and technologies.

Requirements

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  • A bachelor's degree in Computer Science, Information Systems, or a related field.
  • Proven experience as a Validation Analyst or similar role.
  • Strong analytical and problem-solving skills.
  • Excellent attention to detail.
  • Good understanding of data management principles.
  • Proficiency in data analysis tools and software.
  • Ability to communicate effectively with both technical and non-technical stakeholders.
  • Ability to work independently and as part of a team.
  • Good organizational and time management skills.
  • Knowledge of the latest data validation techniques and technologies.

Potential interview questions

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  • Can you describe a time when you identified and resolved a data discrepancy?
  • How do you ensure the accuracy and consistency of data?
  • What data analysis tools and software are you proficient in?
  • How do you communicate with non-technical stakeholders?
  • What is your approach to developing validation rules and processes?