Overview
Support the planning, design, implementation, management, and enhancement of data analytics and automation solutions to improve operational support for public health initiatives.
Key Responsibilities
- Configure and customize ACL Robotics projects with automated scripts for 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.
- 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.
- 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.
- 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.
- Provide 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.
- Document workflows, automation scripts, and system configurations.
- Capture lessons learned and best practices.
- Provide recommendations to enhance system performance, scalability, and efficiency.
Required Experience
- Band A level Consultant (P2): A minimum of three years of practical experience in data analytics. Experience with relevant data analytics tools eg ACL Python, SQL, SAS, or similar.
- Band B level Consultant (P3): A minimum of five years of practical experience in data analytics. Experience with relevant data analytics tools eg ACL, Python, SQL, SAS, or similar.
- Demonstrated experience working in multicultural and cross-functional teams.
- Experience in training and capacity building.
Qualifications
- Band A level Consultant (P2) 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.
- 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.
