Data Quality Analyst

Career Area: Planning and Analysis

Occupation Group: Data Analysis and Mathematics

Salary

Percentile wages tell how much a certain percentage of an overall population in a geographic area or within a given industry or field makes. The percentile wage estimate is the value of a wage below which a certain percent of workers fall.

An example would be the 25th percentile, 25 percent of workers employed in that occupation earn less and 75 percent earn more than the estimated wage value. At the 75th percentile, 75 percent of workers employed in that occupation earn less and 25 percent earn more than the estimated wage value.

A typical Data Quality Analyst earns the following wages (national and state):

State

The average salary in North Carolina for those pursuing this career is $74,484

National

The average salary in the United States for those pursuing this career is $67,316

What Does a Professional in this Career Do?

Responsible for analyzing the quality assurance test results of a product or service. May be responsible for developing testing plans, test cases and testing scripts.

Employment Trends

The job demand and job growth statistics shown here were derived from job posts over the past year. Expected job growth projections are extrapolated from year-over-year job post listing history.

Job demand and job growth is expected at the following rates:

Skills

A professional in this position typically utilizes the following skills in the course of everyday work in this exciting and challenging field:

Baseline Skills

The following are baseline skills every Data Quality Analyst is expected to have in order to experience success in this field:

• Communication Skills: The ability to convey information to another effectively and efficiently.
• Microsoft Excel: Microsoft Excel is a spreadsheet developed by Microsoft for Windows, macOS, Android and iOS. It features calculation, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications.
• Detail-Oriented: A detail oriented person is someone who pays attention to the details and can make a conscious effort to understand causes instead of just the effects, and that does this in a second nature type of way.
• Teamwork / Collaboration: Experience working in collaborative efforts with a team to achieve a common goal or to complete a task in the most effective and efficient way.
• Problem Solving: Problem solving consists of using generic or ad hoc methods, in an orderly manner, for finding solutions to problems.

Specialized Skills

These skills are specific to working in this career:

• Data Quality: Data quality refers to the condition of a set of values of qualitative or quantitative variables.
• SQL: SQL ( ESS-kew-EL or SEE-kwl, Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
• Data Analysis: Data analysis, also known as analysis of data or data analytics, is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.
• Data Integrity: Data integrity is the maintenance of, and the assurance of the accuracy and consistency of, data over its entire life-cycle, and is a critical aspect to the design, implementation and usage of any system which stores, processes, or retrieves data.
• Data Management: Data management comprises all the disciplines related to managing data as a valuable resource.

Distinguishing Skills

Any Data Quality Analyst that possesses the following skills will stand out against the competition:

• Data Visualization: Working experience with the creation and study of the visual representation of data. This includes communicating information clearly and efficiently, with the use of statistical graphs, plots, information graphics and other tools.
• Informatica Data Quality: Working experience of Informatica Data Quality, which is a software solution for managing data quality across an enterprise or organization. The software transforms data quality processes to be a collaborative effort between business users and IT.
• Data Modeling: Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques.
• Data Mining: Data mining is the computing process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.
• Data Architecture: In information technology, data architecture is composed of models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.

Salary Boosting Skills

A professional who wishes to excel in this career path may consider developing the following highly valued skills:

• Data Architecture: In information technology, data architecture is composed of models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.

Experience

This position typically requires the following level of experience. The numbers presented in the pie charts below were derived from actual job posts over the past year. Not all job postings list experience requirements.

Common Job Titles

It is possible to find work in this field in positions commonly listed as the following job titles:

• Data Quality Analyst
• Data Integrity Specialist
• Data Quality Specialist
• Data Integration Specialist
• Quality Data Analyst

Similar Occupations

If you are interested in exploring similar occupations, you may want to research the following job titles:

• Senior Data Analyst
• Data Analyst (Finance)
• Data Analyst (General)
• Data Specialist
• Business Intelligence Analyst
• Data Analyst (Marketing)
• Data Analyst (Healthcare)