1. What is the average salary of a Data Control Clerk II?
The average annual salary of Data Control Clerk II is $53,664.
In case you are finding an easy salary calculator,
the average hourly pay of Data Control Clerk II is $26;
the average weekly pay of Data Control Clerk II is $1,032;
the average monthly pay of Data Control Clerk II is $4,472.
2. Where can a Data Control Clerk II earn the most?
A Data Control Clerk II's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer.
According to the latest salary data by Salary.com, a Data Control Clerk II earns the most in San Jose, CA, where the annual salary of a Data Control Clerk II is $67,348.
3. What is the highest pay for Data Control Clerk II?
The highest pay for Data Control Clerk II is $71,701.
4. What is the lowest pay for Data Control Clerk II?
The lowest pay for Data Control Clerk II is $40,241.
5. What are the responsibilities of Data Control Clerk II?
Data Control Clerk II reviews, codes, and inputs source data from storage media into a computer processing system. Compares output to control totals and makes corrections to codes and batches as necessary. Being a Data Control Clerk II prepares and distributes output reports as instructed. Requires a high school diploma or equivalent. Additionally, Data Control Clerk II typically reports to a supervisor. The Data Control Clerk II works under moderate supervision. Gaining or has attained full proficiency in a specific area of discipline. To be a Data Control Clerk II typically requires 1-3 years of related experience.
6. What are the skills of Data Control Clerk II
Specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
1.)
Customer Service: Customer service is the provision of service to customers before, during and after a purchase. The perception of success of such interactions is dependent on employees "who can adjust themselves to the personality of the guest". Customer service concerns the priority an organization assigns to customer service relative to components such as product innovation and pricing. In this sense, an organization that values good customer service may spend more money in training employees than the average organization or may proactively interview customers for feedback. From the point of view of an overall sales process engineering effort, customer service plays an important role in an organization's ability to generate income and revenue. From that perspective, customer service should be included as part of an overall approach to systematic improvement. One good customer service experience can change the entire perception a customer holds towards the organization.
2.)
Data Collection: Data collection is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a component of research in all fields of study including physical and social sciences, humanities, and business. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same. The goal for all data collection is to capture quality evidence that allows analysis to lead to the formulation of convincing and credible answers to the questions that have been posed.
3.)
Data Integrity: Data integrity refers to the accuracy and consistency (validity) of data over its lifecycle. Compromised data, after all, is of little use to enterprises, not to mention the dangers presented by sensitive data loss.