Sample Job Description for Data Quality Control Supervisor
Job Description Management
A sample job description outlines the essential duties, responsibilities, and requirements of a specific role within an organization. It provides a clear and concise summary of what the job entails, the expectations for the position, the qualifications, and skills and competencies required to perform the job successfully.
An accurate, well-written job description example can attract qualified candidates and ensure that both the employer and employee have a clear understanding of the role. It can also serve as a basis for performance evaluations and career development plans.
Additionally, sample job descriptions are helpful in other areas of HR, such as to determine pay structure, create a sound job architecture, and ensure legal compliance with labor laws and regulations.
Matching the right person with the right background and skills to the appropriate role is critical to the success of any organization and it starts with an accurate job description.
Our job description management solution, JobArchitect, simplifies the process of creating and maintaining job descriptions, and helps companies accurately communicate a job’s required skills so that you can hire right and perform better.
Data Quality Control Supervisor Job Overview
Data Quality Control Supervisor Job Description Sample
Supervises the daily activities of data control clerks.
JOB LEVEL
M00
EDUCATION/DEGREE
High School Diploma or Technical Certificate
REPORTS TO
Manager
Salary Range
BASE 50%
$98,300
TOTAL 50%
$102,700
Job Responsibilities for Data Quality Control Supervisor
Responsible for directing and allocating work to personnel, as well as monitoring and evaluating their work.
Search Job Openings
View Job Description Templates of Similar Jobs
| Job Title | Job Description | |
|---|---|---|
| 1 | Data and Information Architect I | The Data and Information Architect I develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Designs and builds relational databases for data storage or processing. Being a Data and Information Architect I may evaluate new data sources for adherence to the organization's quality standards and ease of integration. Builds data models and defines the structure, attributes and nomenclature of data elements. In addition, Data and Information Architect I typically requires a bachelor's degree. Typically reports to a supervisor or manager. Being a Data and Information Architect I works on projects/matters of limited complexity in a support role. Work is closely managed. Working as a Data and Information Architect I typically requires 0-2 years of related experience. |
| 2 | Data Scientist/Analytics, Entry | The Data Scientist/Analytics, Entry interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Identifies business trends and problems through complex big data analysis. Being a Data Scientist/Analytics, Entry prepares big data, implements data models and develops database to support the business solutions. Designs, develops and implements the most valuable business solutions for the organization. In addition, Data Scientist/Analytics, Entry may require an advanced degree. Typically reports to a manager. Work is closely managed. Works on projects/matters of limited complexity in a support role. Typically requires 0-2 years of related experience. Being a Data Scientist/Analytics, Entry work is closely managed. Works on projects/matters of limited complexity in a support role. Working as a Data Scientist/Analytics, Entry typically requires 0-2 years of related experience. |
| 3 | Data Scientist/Analytics, Expert Advisory | The Data Scientist/Analytics, Expert Advisory interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Identifies business trends and problems through complex big data analysis. Being a Data Scientist/Analytics, Expert Advisory prepares big data, implements data models and develops database to support the business solutions. Designs, develops and implements the most valuable business solutions for the organization. In addition, Data Scientist/Analytics, Expert Advisory typically requires an advanced degree. Typically reports to a manager or head of a unit/department. Works autonomously. Goals are generally communicated in solution or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Typically requires 10+ years of related experience. Being a Data Scientist/Analytics, Expert Advisory works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Working as a Data Scientist/Analytics, Expert Advisory typically requires 10+ years of related experience. |
| 4 | Data Scientist/Analytics, Senior Specialist | The Data Scientist/Analytics, Senior Specialist interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Identifies business trends and problems through complex big data analysis. Being a Data Scientist/Analytics, Senior Specialist prepares big data, implements data models and develops database to support the business solutions. Designs, develops and implements the most valuable business solutions for the organization. In addition, Data Scientist/Analytics, Senior Specialist requires a bachelor's/master's degree. Typically reports to a manager or head of a unit/department. Working as a Data Scientist/Analytics, Senior Specialist typically requires 7+ years of related experience. A specialist on complex technical and business matters. Work is highly independent. May assume a team lead role for the work group. |
| 5 | Data Scientist/Analytics , Intermediate | The Data Scientist/Analytics , Intermediate interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Identifies business trends and problems through complex big data analysis. Being a Data Scientist/Analytics , Intermediate prepares big data, implements data models and develops database to support the business solutions. Designs, develops and implements the most valuable business solutions for the organization. In addition, Data Scientist/Analytics , Intermediate may require an advanced degree. Typically reports to a manager. Occasionally directed in several aspects of the work. Gains exposure to some of the complex tasks within the job function. Typically requires 2 -4 years of related experience. Being a Data Scientist/Analytics , Intermediate occasionally directed in several aspects of the work. Gains exposure to some of the complex tasks within the job function. Working as a Data Scientist/Analytics , Intermediate typically requires 2 -4 years of related experience. |
Data Quality Control Supervisor Skills & Proficiency Level
| Skills | Proficiency Level |
|---|---|
| Standard Operating Procedures (SOP) | Level 3 |
| Quality Focus | Level 3 |
| Planning and Organizing | Level 3 |