Sample Job Description for Data Quality Control Supervisor

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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%
$98,700
TOTAL 50%
$103,100
Job Responsibilities for Data Quality Control Supervisor

Responsible for directing and allocating work to personnel, as well as monitoring and evaluating their work.

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Job Openings for Data Quality Control Supervisor

View Job Description Templates of Similar Jobs

Job Title Job Description
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2 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.
3 Big Data Analyst I The Big Data Analyst I performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights. Being a Big Data Analyst I maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. In addition, Big Data Analyst I designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering. Typically reports to a manager. Being a Big Data Analyst I work is closely managed. Works on projects/matters of limited complexity in a support role. Working as a Big Data Analyst I typically requires 0-2 years of related experience.
4 Big Data Analyst V The Big Data Analyst V performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights. Being a Big Data Analyst V maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. In addition, Big Data Analyst V designs, develops, and implements the most valuable data-driven solutions for the organization. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to a manager. Being a Big Data Analyst V 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 Big Data Analyst V typically requires 10+ years of related experience.
5 Data and Information Architect II The Data and Information Architect II 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 II 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 II typically requires a bachelor's degree. Typically reports to a supervisor or manager. Being a Data and Information Architect II gains exposure to some of the complex tasks within the job function. Occasionally directed in several aspects of the work. Working as a Data and Information Architect II typically requires 2 to 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