Requirements

• A Master’s Degree in Public Health or related technical field discipline is required.
• Prior experience in data analytics used for documenting programs in public health is required.
• At least eight years or more experience working in MNCAH programs and/or health projects. Prior experience with HSS programming is an added advantage.
• Demonstrated ability to produce high quality data and programmatic materials.
• Experience in writing for UN agencies (human interest stories, reports etc.) UNICEF specific experience will be a strong asset.
• Computer skills, including internet navigation and various office applications.
• Demonstrated ability to work in a multi-cultural environment and establish harmonious and effective is an asset.
• Fluency in English is required.

Requirements

• A Master’s Degree in Public Health or related technical field discipline is required.
• Prior experience in data analytics used for documenting programs in public health is required.
• At least eight years or more experience working in MNCAH programs and/or health projects. Prior experience with HSS programming is an added advantage.
• Demonstrated ability to produce high quality data and programmatic materials.
• Experience in writing for UN agencies (human interest stories, reports etc.) UNICEF specific experience will be a strong asset.
• Computer skills, including internet navigation and various office applications.
• Demonstrated ability to work in a multi-cultural environment and establish harmonious and effective is an asset.
• Fluency in English is required.

Major Tasks to be accomplished during this consultancy include:

• Support the ongoing national and 36+1 state RMNCAH scorecard system down to facility level. This includes capacity building and mentoring support to planning officers towards institutionalizing this work.
• Support the PHC Leadership Challenge PHC system performance framework linked with the annual operational plans, the M&E Plan of the National Strategic Health Development Plan II and initiatives like the MSDAT. This includes work with the IVA to better understand state level performance.
• Support data quality and other aspects on data initiatives in the Health Section including the different accountability frameworks under the programme.
• Support the review of DHIS2 indicators/data elements and NHMIS report forms and registers including the extension of scorecard related products, such as with program score cards (e.g., Nutrition)
• Support the linkages between community scorecards or facility profiles and GIS based catchment population estimates and visualizations.
• Support Decentralized Digitalization of HIS and introduction of Automated data use apps.
• Support in building capacity of the HIS workforce