Skills & Competencies for Data Processing Supervisor

Data Processing Supervisor job profile

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JOB SUMMARY for Data Processing Supervisor

Supervises the performance of data tasks.

JOB RESPONSIBILITIES for Data Processing Supervisor

Ensures data is captured and managed effectively, and that all data loading, validation, and analysis activities adhere to procedures and quality control standards. Manages workflows and processes to meet production targets. Oversees the generation of reports for stakeholders or management and interfaces with those parties to implement any changes or new initiatives.

Data Processing Supervisor SALARY RANGE

BASE 50%
$91,026
TOTAL 50%
$100,604
Job Level
M00
Job Code
IT10000640
Education/Degree
Bachelor's Degree
Reports To
Manager or Head of a Unit/Department

Data Processing Supervisor Skills and Competencies List

Proficiency Levels and Behavioural Indicators
Salary.com identifies five increasing levels of proficiency for each skill/competency. Some jobs require only a relatively low level of proficiency in each skill/competency, while other jobs will require a more advanced level of proficiency in the same skill/competency. These levels rate the degree of proficiency (skill level, expertise) we expect the incumbent to perform in the given skill/competency for the given job. Note that we intentionally do not associate timeframes or years of experience in performing the skill/competency because that can be misleading. Proficiency levels identify what the incumbent knows and can do rather than how long they have been doing it. Also, note that the proficiency levels are cumulative, e.g., a level 4 proficiency implies the ability to perform all the behaviors at the lower levels.
Check each Data Processing Supervisor skill and competencie below to view definitions.
JOB FAMILY COMPETENCIES CORE COMPETENCIES
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10 general skills or competencies (Job family competencies) for Data Processing Supervisor

1 Job Family Competencies – Data Control
Proficiency Level -3
Skill definition-Governing and managing data to achieve data governance and data management objectives.
Level 1 Behaviors
(General Familiarity)
Describes the importance of data control in maintaining data accuracy and quality.
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Level 2 Behaviors
(Light Experience)
Conducts basic compliance assessments to identify potential risks to data protection.
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Level 3 Behaviors
(Moderate Experience)
Maintains consistency in executing data control procedures to ensure and improve data integrity.
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Level 4 Behaviors
(Extensive Experience)
Manages data access to all sources to protect the privacy and rights of the data's subject.
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Level 5 Behaviors
(Mastery)
Develops internal data control to ensure data integrity and quality within the applications assigned.
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2 Job Family Competencies – Data Entry
Proficiency Level -3
Skill definition-Transcribing information into an electronic medium such as a computer or other electronic device.
Level 1 Behaviors
(General Familiarity)
Documents key concepts and components from the data entry manual.
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Level 2 Behaviors
(Light Experience)
Compiles records to accurately enter data on record management systems.
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Level 3 Behaviors
(Moderate Experience)
Prepares for the possibility of wasting time, money, and resources by analyzing accurate and timely data.
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Level 4 Behaviors
(Extensive Experience)
Engages in the development of data entry procedures to drive successful data entry system implementation.
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Level 5 Behaviors
(Mastery)
Develops new processes, methods, and procedures to improve the accuracy of data entry services.
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3 Data Processing Supervisor - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Processing Supervisor
Proficiency Level - 4
5 Competency for - Data Processing Supervisor
Proficiency Level - 5

11 soft skills or competencies (core competencies) for Data Processing Supervisor

1 Core Competencies – Standard Operating Procedures (SOP)
Proficiency Level -3
Skill definition-A set of written instructions that describes the step-by-step activities to complete tasks in compliance with business standards and industry regulations.
Level 1 Behaviors
(General Familiarity)
Discusses the considerations and concerns on applying SOP for the first time.
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Level 2 Behaviors
(Light Experience)
Gathers information on workflows and business controlling points.
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Level 3 Behaviors
(Moderate Experience)
Maintains the accuracy of SOPs to provide consistent guidance in our workplace.
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Level 4 Behaviors
(Extensive Experience)
Leverages the use of SOPs to solve business and operation problems.
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Level 5 Behaviors
(Mastery)
Keeps abreast of industry regulation and its effect on our internal SOPs.
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2 Core Competencies – Quality Focus
Proficiency Level -3
Skill definition-Continuously maintaining and improving the quality of a product/service to meet the changing client needs and create value.
Level 1 Behaviors
(General Familiarity)
Describes the importance and impact of maintaining high-quality standards.
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Level 2 Behaviors
(Light Experience)
Deals with root causes of problems wherever they exist.
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Level 3 Behaviors
(Moderate Experience)
Consults on discrepancies between quality and safety objectives.
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Level 4 Behaviors
(Extensive Experience)
Oversees performance evaluations to check adherence to the prescribed quality standards.
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Level 5 Behaviors
(Mastery)
Establishes and implements quality improvement best practices and initiatives across the business.
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3 Data Processing Supervisor - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Processing Supervisor
Proficiency Level - 4
5 Competency for - Data Processing Supervisor
Proficiency Level - 5

Summary of Data Processing Supervisor skills and competencies

There are 0 hard skills for Data Processing Supervisor.
10 general skills for Data Processing Supervisor, Data Control, Data Entry, Business Intelligence, etc.
11 soft skills for Data Processing Supervisor, Standard Operating Procedures (SOP), Quality Focus, Planning and Organizing, etc.
While the list totals 21 distinct skills, it's important to note that not all are required to be mastered to the same degree. Some skills may only need a basic understanding, whereas others demand a higher level of expertise.
For instance, as a Data Processing Supervisor, he or she needs to be skilled in Standard Operating Procedures (SOP), be skilled in Quality Focus, and be skilled in Planning and Organizing.

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