Data Quality Analyst Job Description

What is the job description of a Data Quality Analyst? What are the duties and responsibilities of a Data Quality Analyst? What does a Data Quality Analyst do?

Job description of a Data Quality Analyst

Data Quality Analysts monitor the quality of data from which organizations make informed decisions. They examine complex data to optimize the efficiency and quality of the data being collected, resolve data quality problems, and collaborate with database developers to improve systems and database designs.

This Data Quality Analyst job description example includes the list of most important Data Quality Analyst duties and responsibilities as shown below. It can be modified to fit the specific Data Quality Analyst profile you're trying to fill as a recruiter or job seeker.

Data Quality Analyst Duties and Responsibilities

Data Quality Analyst job description should contain a variety of functions and roles including:

  • Performing statistical tests on large datasets to determine data quality and integrity.
  • Evaluating system performance and design, as well as its effect on data quality.
  • Reporting data analysis findings to management to inform business decisions and prioritize information system needs.
  • Documenting processes and maintaining data records.
  • Adhering to best practices in data analysis and collection.
  • Collaborating with database developers to improve data collection and storage processes.
  • Running data queries to identify coding issues and data exceptions, as well as cleaning data.
  • Gathering data from primary or secondary data sources to identify and interpret trends.
  • Keeping abreast of developments and trends in data quality analysis.

Data Quality Analyst Requirements / Skills / Qualifications

Data Quality Analyst job description should include these common skills and qualifications:

  • Bachelor's degree in statistics, mathematics, computer science, information management, or similar.
  • Experience in data analysis.
  • Exceptional analytical skills.
  • Advanced problem-solving skills.
  • Knowledge of best practices in data analysis.
  • Excellent interpersonal and communication skills.
  • Proficiency in programming languages, including Structured Query Language (SQL) and JavaScript.
  • In-depth knowledge of statistical methods and tests.
  • Extensive experience with statistical packages, such as MS Excel, SAS, and SPSS

As a hiring manager, recruiting an ideal Data Quality Analyst starts with crafting a good job description. Use this Data Quality Analyst job description template to save yourself time and help you attract the most qualified candidates. Feel free to revise it to meet your specific needs.

Job seekers interviewing for the role of a Data Quality Analyst may also reference it in preparation for the interview.