Behind every high-quality dataset is a field team that’s supported, confident, and never left alone with a technical problem.

 

DataDrive2030 is recruiting a Fieldwork Support Coordinator to join the First Class Conductors Business Unit. This role serves as the primary operational interface for field teams. This role supports the post-training assessor journey, providing direct, ongoing liaison, mentorship, and technical troubleshooting to ensure field teams are fully supported and equipped for high-quality data collection during fieldwork, in support of SO3. The Fieldwork Support Coordinator is the first point of contact for in-field issues and the technical expert for field team setup.

 

Role details

 

Role title: Fieldwork Support Coordinator

Business unit: First Class Conductors

Employment type: Permanent

Job grade: CL (C1)

Salary: R30 000 – R40 000 (CTC)

Line manager: User Engagement Lead (and Fieldwork Support Manager)

Deadline: 18 February 2026

 

Responsibilities

 

In-field assessor liaison and operational support

 

• Act as the main operational liaison, providing direct, real-time support and communication to assessors active in the field

• Apply technical troubleshooting skills and context-specific knowledge to respond to logistical, procedural, and technical issues related to the ELOM tool, child assessment protocols, and data capturing platforms (e.g. SurveyCTO)

• Respond to and triage ad hoc technical and administrative requests from the field

• Collect and collate operational feedback from the field to inform the Fieldwork Support Manager and the Workforce Warriors team, contributing to continuous improvement in training and fieldwork support processes

 

Post-training assessor readiness and onboarding

 

• Support the practical steps of the assessor journey following training, including onboarding processes and enrolment for field orientation sessions

• Provide technical and administrative setup support to assessors, including:

  • Navigation of assessment kits, tablets, and fieldwork devices

  • Orientation to and access of the data collection software interface

  • Preloading of data to the backend

 

Data quality control and validation support

 

• Liaise directly with assessors before, during, and after fieldwork to communicate the status of ongoing data quality checks raised by Data Divas

• Follow up on data discrepancies, required corrections, and procedural data capturing issues to support timely in-field remediation

• Update the DD2030 database with revised data points in line with agreed data protocols, in collaboration with the Data Divas team

 

Organisational collaboration

 

• Work with other Business Units on joint projects and ensure smooth handover of functions at key points

• Participate in weekly team meetings and strategy sessions, and support ad hoc tasks arising from these discussions

• Represent DD2030 at relevant forums and events

• Adhere to DD2030’s Ways of Working and support the delivery of the overall organisational strategy

 

Qualifications

 

• Bachelor’s degree in IT Support, Informatics, Social Sciences, or a related field with a strong technical or fieldwork component

• Trained and accredited as an ELOM Assessor

 

Experience

 

• 2–4 years’ experience in technical field support, digital data collection, or fieldwork coordination

• Strong working knowledge of mobile data collection platforms (e.g. SurveyCTO)

• Direct experience supporting field-based teams (assessors, enumerators, facilitators)

• Familiarity with data quality checks and database updates

• Experience conducting ELOM assessments is an advantage, not a requirement

 

Capabilities

 

• Calm, effective technical troubleshooting under pressure

• Clear, empathetic communication with field teams

• Strong attention to detail in setup, logic, and documentation

• Confidence navigating devices, software interfaces, and access protocols

• A genuine service mindset – you care about helping others succeed

 

👉 Apply here: https://forms.gle/Vw9nePCPXhJEDLJ29

 

If you like solving problems as they happen, and you care deeply about the integrity of data collected in real-world conditions, we’d love to hear from you.