Technical: Using computational theories and applications that may include data mining and the use of analytic models, data warehouse set-up, statistics and/or relational algebra, and specific programming languages.
Working with internal and external team members to measure, monitor and improve data quality.
Identifying and reporting on the complex relationships between the technology and information, providing projections and predictions, cost analysis, impact and error detection.
Skills in leveraging the power of data wrangling tools such as Alteryx are essential for a Data Quality Analyst.
Free open source tools are increasing being used to perform data quality analysis. Those include tools such as KNIME, Talend and Pentaho.
Data Quality Analysts are often required to know Python, , as well as Java, Perl and C/C++. Python is relatively easy to learn, and it is supported by an active community. Python has been gaining on R in popularity in recent years, though both of these open-source languages are popular.
Unstructured data from reviews, social media comments and email can be a gold mine of information for Data Quality Analysts, but it doesn’t always fit neatly into traditional data tables. That’s why they may need to leverage the capabilities of ELT.
Being able to communicate their findings is a key responsibility for Data Quality Analysts, and in order to do so, they need to know which tools will work best for their applications.
Tableau is an essential software package that can present the data and showcase the derived insights. It allows Data Quality Analysts to show the results in a variety of visual formats.
ggplot2 allows Data Quality Analysts to plot trends on a graph with unique color-coding to help distinguish between key points. The findings can then be processed directly as a PDF or object that can be easily disseminated to shareholders.
How much does a Data Quality Analyst make per year? Depending on skills, experience and additional certifications, some of the best-known job-search companies have this to say about salaries:
Data Quality Analyst Salaries from Glassdoor
Average Senior Data Quality Analyst Salary from Payscale
Wyzoo Data Quality Analysts leverage the latest technology. They apply AI and machine learning to interpret big data for accurate data analysis, helping you make more reliable data quality decisions, faster and more dependably than ever before
Wyzoo’s Data Quality Analysts devise custom answers to your data issues and problems by helping you understand potential data loopholes and provide real solutions to maximize your accuracy.