Data Analyst
Role Outline
- The Data Analysis Clerk is responsible for accurately capturing, analyzing, and maintaining operational and administrative data to support informed business decisions and efficient organizational processes. The role focuses on ensuring data accuracy, generating reports, maintaining records, and supporting teams with timely and reliable information.
About the role Key duties and responsibilities
- Accurately capture, verify and update data into company system and database.
- Review and analyze data to identify inconsistencies, errors or missing information.
- Generate reports and summaries to support operational and management decision making.
- Maintain accurate records and ensure proper filing of electronic documents.
- Ensure data confidentiality and compliance with company policies and procedures.
- Collaborate with internal departments to collect and validate required information.
- Monitor data quality and recommend improvements to enhance reporting accuracy.
- Respond promptly to data related queries and provide administrative support when required.
- Perform routine audits to ensure information accuracy and completeness.
- Support process improvement initiativeness by identifying trends and operational gaps.
- Ensure timely completion of data entry and reporting tasks.
- Maintain confidentiality of sensitive company and client information.
- Support departmental objectives through accurate and efficient administrative support.
- Any other duties assigned to me.
About you
- Diploma in Logistics or Relevant professional qualifications
- Degree level or equivalent is an added advantage
- Proven experience of 3 years in data analysis, preferably within the logistics industry.
- Familiarity with data visual management systems
- Strong communication and organizational skills.
What we offer
- DHL Supply Chain has a truly international, Inclusive, and diverse working environment, with a strong emphasis on values and team-based leadership along with an open and engaging company culture.
- Extensive learning and development opportunities.
- Health insurance cover
- Tools for the assigned tasks and results delivery.
Method of application
If you are interested and qualified, kindly submit your application via the link provided below,
Deadline may 28, 2026