Assistant Data Clerk , Wildlife Works at Corporate Staffing

Duties and Responsibilities

• Receiving, cataloguing and filing hard copies from various field teams. These should be systematically arranged, catalogued, safely and conveniently stored for easy access by yourself and other authorised parties
• Verifying data accuracy by double-checking data sheet entries, consulting field teams and checking with your supervisor when clarification is required
• Data entry and organisation of soft copies of the data in your designated data computer and two back-up hard drives. Data shall be entered mainly in Microsoft Access or Excel (or BaseCamp for GIS-related data) as appropriate and stored in well-labelled and conveniently organised folders, again for ease of access
• With direction of your supervisor, keep track of required changes in data entry templates. These include minor updates such as addition of new fields or major overhauls such as changing databases or migration to cloud-based systems.
• You will be the key repository for datasheets/questionnaires and other data collection instruments for different field teams, particularly the Carbon (Biomass) teams and Rangers and Community Biodiversity Monitors
• When required, assisting with field data collection (mainly Social and Biodiversity), as well as assisting with implementation of other biodiversity and social monitoring plans for the Kasigau Corridor Project.
• Supervising and taking on leadership of interns, students and other staff working in or with the Biodiversity and Social Monitoring section whenever necessary
• Dealing with verifiers, conservationists and researchers visiting the Kasigau Corridor Project Area to establish Wildlife Works as a credible conservation organisation especially as pertains our data collection and management systems.

Minimum qualifications for appointment into the position:-

• Post-secondary school education in a related field (diploma is a strong advantage), including wildlife management, natural resources management, environmental studies, biological sciences and related fields
• High level of competence with MS Office Suite, with demonstrated application of MS Excel and MS Access
• A minimum of 3 years’ experience in data management