Field Data Assistant Seaowl Energy Services

The job holder is responsible for:
• Liaise with responsible parties to capture related data in company Data Management System for data integration, aggregation, transformation, and calculations as well as for data dissemination.
• Run defined validation checks on incoming data from ongoing field operation activities to ensure completeness, timeliness, and accuracy of the data.
• Assist in the maintenance of referential metadata pertaining to the collected datasets by the department. Implement policies and processes for effective data handling, in accordance with Information protection policies.
• Monitor data from field contractors on a weekly, monthly, quarterly basis and provide substantive inputs to regular management briefs to inform decision making.
• Conduct compliance inspections on data management to enhance adherence to data management standards.
• Support the communication of data and metadata availability and facilitates navigation of data to end-users.
• Coordinate responses to internal and external data requests, including data exchange with other department sections. Act as a liaison between the Kampala H3SE data team and the Site H3SE team regarding their data needs.
• Organize, preserve and file appropriately all hard copies of related documents in line with the available company procedures.
• Perform other job-related duties as assigned.

Qualifications & Experience Required
Qualification:
• Bachelor’s degree or equivalent in Data & Information Management (or related field of study such as Environment and Social Studies discipline is highly desirable.).

Experience:
• Minimum 5 years’ experience in, compliance field reporting of project activities such as environment and societal.
• Demonstrated ability in project management working in remote and challenging environments with rural communities, civil societies, Central and Local Governments as well as good negotiation and conflict management skills.
• Excellent analytical skills, be comfortable handling large data sets in a production environment.
• Strong communication skills and attention to detail, ability to establish priorities, meet deadlines, manage multiple tasks effectively, and be flexible under pressure.