Data Analytics Consultants

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
  

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.