DATA ENTRY CLERK - Shearer Companies : Job Details

DATA ENTRY CLERK

Shearer Companies

Job Location : State College,PA, USA

Posted on : 2024-11-29T15:26:25Z

Job Description :
Job DetailsJob Location Sutherland Global Logistics SGL STATE COLLEGE - STATE COLLEGE, PA Position Type Full Time Education Level 2 Year Degree Salary Range $20.00 - $20.00 Hourly Travel Percentage Negligible Job Shift Day Job Category Admin - Clerical Description Under the supervision of the Logistics Analyst the Data Entry Clerk will support business needs across the organization by compiling and handling routine clerical tasks relating to entering, updating, and validating data. They will be required to ensure the data is accurate, up-to-date, organized and meets any contractual requirements. Essential Duties and responsibilities:
  • Updating, validating, and formatting data into databases and spreadsheets
  • Manual typing of information and/or scanning physical documents
  • Updating and maintaining existing data
  • Organizing, maintaining, and creating digital files
  • Assisting with generating reports from data
  • Communicating with team members to clarify data requirements
  • Ensuring data security and confidentiality
  • Performing regular backups to ensure data preservation
  • Willingness to learn and grow within the company
  • Understands data confidentiality principles and follows them to the letter
  • Collaborate with team members to streamline data entry processes and improve overall efficiency.
  • Retrieve and update source files
  • Identify and troubleshoot report failures
Supervisory Responsibilities:
  • None
QualificationsQualifications:
  • Ability to acquire TSA Certification (Required)
  • Excellent and precise data entry and typing skills (Required)
  • Good organization skills and attention to detail
  • Excellent written and verbal communication skills (Required)
  • Expert level of experience with Microsoft data software and office suite (required)
  • Data Entry and analysis experience (required)
  • Ability to work independently
Education and /or experience:
  • High School Diploma or GED Required
  • 1-2 years of power BI experience.
  • Associates or bachelor's degree strongly preferred
Language skills:
  • Excellent interpersonal communication (oral and written) skills
  • Ability to communicate clearly and concisely in English, both orally and in writing, to all levels
Computer skills:
  • Proficiency with Microsoft Office, especially Word, Excel and Outlook; extensive knowledge of Excel and Power BI, including but not limited to, statistical analysis, pivot tables, table lookup functions, etc.
  • Knowledge of database software tools and applications.
  • Ability to quickly learn new programs/software
Physical demands:
  • Sitting eight (8) hours or more per day; standing and/or walking two (2) hours or more per day.
  • Eight or more hours per day doing computer work.
  • Ability to bend, reach and stoop.
  • Ability to lift up to 25 pounds
Work Environment:
  • Primarily office based
Travel Requirements:
  • Very occasional travel as needed.
Dedication to the Quality System (Required): Our objective is to provide a system that promptly detects non-conformances and provides timely and effective control and corrective actions. This Quality System establishes an effective means of assuring product quality. It is our policy to provide full compliance with the Quality System throughout all facets of contract performance and the order fulfilment process. This ensures that all of our products and services meet or exceed the expected companystandards as well as those of our customers and. We operate the Quality System as an overall management system for all products. All employees accept responsibility for the excellent quality of products and take professional pride in producing high quality products that are the finest in the marketplace. Our approach to quality is based on the premise that we can achieve product quality and effective cost control by concentrating on the integrity of processes and preventative measures rather than after the fact detection.
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