JOB DETAILS:

Data Entry Clerk at Tembo Steals (U) Ltd

About Us:
Tembo Steels (U) Ltd (TSUL) is one of East Africa’s leading integrated steel manufacturers, committed to quality, safety, and innovation. We specialize in producing a wide range of hot and cold rolled steel profiles, serving key sectors across the region.

Job Purpose:
To efficiently input, verify, and manage data in the company’s systems to ensure accuracy, consistency, and timely availability of information for reporting and decision-making.

Key Responsibilities:

• Accurately enter data into databases, spreadsheets, and other designated software systems.
• Review and verify data for errors or inconsistencies and make necessary corrections.
• Maintain up-to-date records of transactions, inventories, employee records, or any assigned data sets.
• Generate routine reports as required by supervisors or department heads.
• Organize and maintain electronic and paper files to ensure easy retrieval and reference.
• Assist in compiling, sorting, and checking data before entry.
• Respond promptly to information requests and maintain confidentiality of sensitive data.
• Support internal teams by ensuring data integrity and availability for operational needs.

Qualifications & Experience:

• • Minimum of a Diploma in Information Technology, Business Administration, Records Management, or a related field.
  • Proven experience in data entry or clerical work is an added advantage.
  • Proficiency in MS Office (especially Excel and Word); experience with ERP or database systems is a plus.
  • Fast typing speed with a high level of accuracy.

Key Competencies:

• Strong attention to detail and ability to detect errors.
• Good organizational and time management skills.
• Ability to work independently and in a team.
• High level of integrity and ability to maintain confidentiality.
• Effective communication and interpersonal skills.

Working Conditions:

• Office-based role with regular use of computers and data systems.
• May require occasional overtime to meet data processing deadlines.