Data quality analysts analyze complex data and turn it into information and insights to guide business decisions. They also monitor quality and performance control plans to identify problems or ways to improve systems and database design. This feature requires the collaboration of database developers to implement effective automation processes by developing access queries on the SQL platform so that data can be extracted for quality control and accuracy. Data quality analysts typically work full time in an office environment, often as part of a larger development team. This role is suitable for people who enjoy working with numbers and data sets, have an aptitude for computer systems and software, and have strong analytical skills.
Duties and responsibilities of the data quality analyst
The type of organization a data quality analyst works for will determine the exact roles and responsibilities they will assume. Based on the job openings we have reviewed, the duties of a data quality analyst generally include:
Interpret the data
Data quality analysts interpret the data and analyze the results using statistical techniques. They provide continuous reports on the effects of different strategies and observe any trends or issues that arise with top management.
Develop and implement databases
This role involves working with database developers to implement databases for more effective data collection and storage, as well as performing data analysis and other strategies to optimize the efficiency and quality of collected data.
Identify trends
Data quality analysts acquire data from primary or secondary data sources to maintain database systems. They also identify and interpret trends or patterns in complex data sets.
Check computer reports
This role involves filtering and "cleaning" the data by examining computer reports and performance indicators to correct any code problems and verify the efficiency of the data collection processes in place.
Prioritize business needs
Data quality analysts work with management to prioritize business and information needs and identify new processes that will improve existing systems and define new opportunities.
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