The World Health Organization is a specialized agency of the United Nations that is concerned with international public health. It was established on 7 April 1948, headquartered in Geneva, Switzerland.

Purpose of consultancy

Support the planning, design, implementation, management, and continuous enhancement of data analytics and automation solutions in order to improve the effectiveness, transparency, and efficiency of operational support to the Global Polio Eradication Initiative and other programs.

Key objectives of the role include:

• Enhancing the efficiency and reliability of data workflows
• Ensuring accurate and timely payments to campaign workers
• Strengthening transparency, accountability, and compliance
• Enabling data-driven decision-making through real-time analytics and reporting.

Deliverables

System Configuration & Deployment

• Configure and customize ACL Robotics project with automated scripts to manage campaign data workflows, operational requirements, and financial service provider standards.
• Design and deploy automated workflows for data ingestion, validation, processing, and reconciliation.
• Develop reusable scripts and automation routines to support scalable campaign operations.
• Ensure integration of data systems with digital payment platforms and external partners.
• Deliverables: Configured and fully functional ACL Robotics project that contains script/workflows and automated data pipelines tailored to campaign operations.

Data Management & Analytics

• Process and analyze large datasets related to worker registration, attendance tracking, and digital payments.
• Implement automated data quality checks within ACL Robotics to ensure completeness, accuracy, and compliance.
• Generate validated payment files for digital disbursement.
• Apply advanced analytics techniques to identify trends, anomalies, and operational risks.
• Deliverables: Clean, validated, and reconciled datasets with automated quality assurance processes embedded in ACL Robotics.

Operational Support

• Work closely with Digital Finance Officers, WHO Country Offices, and Ministries of Health to troubleshoot data and system issues
• Provide technical support during campaign planning, worker enrollment, and payment execution phases.
• Support reconciliation of payments with financial service providers, ensuring transparency and accountability.
• Coordinate with Mobile Network Operators and financial service providers to support KYC validation processes.
• Deliverables: Timely operational support and resolution of data and payment-related issues, ensuring smooth campaign implementation.

Reporting, Dashboards & Analytics

• Develop interactive dashboards and automated reports using data outputs from ACL Robotics workflows.
• Provide real-time visibility into key campaign indicators, including registration, attendance, and payment status.
• Deliver actionable insights to inform operational and strategic decision-making.
• Deliverables: Dynamic dashboards and analytical reports enabling real-time monitoring and decision-making.

Capacity Building

• Train WHO staff, Ministries of Health, and partners on the use of ACL Robotics tools, automated workflows, and data analytics best practices.
• Develop training materials, user guides, and standard operating procedures (SOPs).
• Promote adoption of automation and data-driven approaches across country teams.
• Deliverables: Capacity building sessions and institutionalized knowledge on ACL Robotics and data workflows.

Documentation and Continuous Improvement

• Document workflows, automation scripts, and system configurations for institutional memory.
• Capture lessons learned and best practices from campaign implementations.
• Provide recommendations to enhance system performance, scalability, and efficiency.
• Deliverables: Comprehensive documentation, best practices, and recommendations for scaling digital payment and analytics solutions.

Qualifications, experience, skills and languages

Educational Qualifications:

Essential:

A first level university degree in Information Systems, Computer Science, Information Technology, Business Administration, Accounting or other discipline related to the functions of the position.

Desirable:

ACL Certified Data Analyst (ACDA). Advanced University degree (Master's) in a relevant field as identified above).

Band B level Consultant (P3)

Essential:

A first level university degree in Information Systems, Computer Science, Information Technology, Business Administration, Accounting or other discipline related to the functions of the position.

Desirable:

ACL Certified Data Analyst (ACDA). Advanced University degree (Master's) in a relevant field as identified above).

Experience

Essential

A minimum of five years of practical experience in data analytics. Experience with relevant data analytics tools eg ACL, Python, SQL, SAS, or similar.

Skills/Knowledge:

• Strong analytical and problem-solving skills
• Experience in data automation, scripting, and workflow optimization
• Proven ability to design and deliver data-driven solutions in complex environments
• Excellent organizational skills and ability to manage multiple priorities
• Demonstrated experience working in multicultural and cross-functional teams
• Strong communication skills, with the ability to produce high-quality reports and present insights to stakeholders
• Experience in training and capacity building

• Configure and customize ACL Robotics project with automated scripts to manage campaign data workflows, operational requirements, and financial service provider standards.
• Design and deploy automated workflows for data ingestion, validation, processing, and reconciliation.
• Develop reusable scripts and automation routines to support scalable campaign operations.
• Ensure integration of data systems with digital payment platforms and external partners.
• Process and analyze large datasets related to worker registration, attendance tracking, and digital payments.
• Implement automated data quality checks within ACL Robotics to ensure completeness, accuracy, and compliance.
• Generate validated payment files for digital disbursement.
• Apply advanced analytics techniques to identify trends, anomalies, and operational risks.
• Work closely with Digital Finance Officers, WHO Country Offices, and Ministries of Health to troubleshoot data and system issues
• Provide technical support during campaign planning, worker enrollment, and payment execution phases.
• Support reconciliation of payments with financial service providers, ensuring transparency and accountability.
• Coordinate with Mobile Network Operators and financial service providers to support KYC validation processes.
• Develop interactive dashboards and automated reports using data outputs from ACL Robotics workflows.
• Provide real-time visibility into key campaign indicators, including registration, attendance, and payment status.
• Deliver actionable insights to inform operational and strategic decision-making.
• Train WHO staff, Ministries of Health, and partners on the use of ACL Robotics tools, automated workflows, and data analytics best practices.
• Develop training materials, user guides, and standard operating procedures (SOPs).
• Promote adoption of automation and data-driven approaches across country teams.
• Document workflows, automation scripts, and system configurations for institutional memory.
• Capture lessons learned and best practices from campaign implementations.
• Provide recommendations to enhance system performance, scalability, and efficiency.

• Strong analytical and problem-solving skills
• Experience in data automation, scripting, and workflow optimization
• Proven ability to design and deliver data-driven solutions in complex environments
• Excellent organizational skills and ability to manage multiple priorities
• Demonstrated experience working in multicultural and cross-functional teams
• Strong communication skills, with the ability to produce high-quality reports and present insights to stakeholders
• Experience in training and capacity building

• A first level university degree in Information Systems, Computer Science, Information Technology, Business Administration, Accounting or other discipline related to the functions of the position.
• ACL Certified Data Analyst (ACDA). Advanced University degree (Master's) in a relevant field as identified above).
• A minimum of five years of practical experience in data analytics. Experience with relevant data analytics tools eg ACL, Python, SQL, SAS, or similar.