Digital Systems and Analytics Specialist

Overall Responsibilities:

The Digital Systems and Analytics Specialist supports the implementation, administration, maintenance, and continuous improvement of digital systems, databases, reporting platforms, dashboards, analytics tools, and data management processes across the integrated America First Global Health Strategy (AFGHS) and Supply Chain Strengthening (SCS) projects. The position contributes to data collection, management, integration, visualization, reporting, and analytics activities that support performance monitoring, learning, adaptive management, decision-making, sustainability, and government ownership. Reporting to the M&E Digital Systems and Analytics Manager, and collaborating with M&E and technical teams, the Specialist helps ensure the availability, quality, security, and effective use of digital systems and data across the TB and Supply Chain portfolios.

Specific Responsibilities:

Administer and maintain project databases, reporting systems, digital data collection platforms, dashboards, and analytics tools.

Support implementation and maintenance of data architecture, system integrations, metadata repositories, and data management processes.

Maintain master data sets, facility lists, reference tables, and system documentation in accordance with established standards.

Support system configuration, user access management, troubleshooting, and routine maintenance activities.

Monitor system performance, data availability, and data flow across project platforms.

Implement routine data quality control, verification, validation, reconciliation, and quality review activities across digital systems.

Support execution of data quality audits, data quality dashboards, anomaly reviews, and corrective action tracking processes.

Maintain data dictionaries, SOPs, metadata documentation, and data quality records.

Support application of data governance standards, naming conventions, documentation requirements, and quality assurance procedures.

Promote data integrity, security, confidentiality, and compliance with

organizational standards.

Develop, update, and maintain dashboards, scorecards, reports, GIS products,

and data visualization tools.

Produce routine and ad hoc analytical outputs, performance summaries, trend

analyses, and reporting products.

Support analysis of project performance, supply chain, TB, and operational

data to identify trends, bottlenecks, and emerging risks.

Contribute to preparation of project reports, presentations, technical briefs,

and donor reporting requirements.

Support implementation and reporting of MEL indicators, disaggregation, and

performance tracking requirements.

Support implementation of automation, interoperability, and digital workflow

solutions that improve efficiency and data availability.

Assist with testing, piloting, validation, and deployment of digital innovations

and emerging technologies.

Support implementation of AI-enabled tools for anomaly detection, data

quality review, reporting, visualization, analytics, and decision support under

established governance procedures.

Contribute to documentation, evaluation, and continuous improvement of

digital innovations.

Provide day-to-day technical support to project staff, data collectors, and

partners on digital systems and analytics tools.

Support training, mentoring, and coaching activities on data management,

visualization, reporting, data quality, and responsible AI use.

Support development and maintenance of user guides, SOPs, reference

materials, job aids, and technical documentation.

Promote effective use and adoption of project digital systems and analytics

platforms.

Support collaboration with M&E staff, technical teams, government

counterparts, implementing partners, and project leadership on digital systems

and analytics activities.

Participate in technical working groups, review meetings, coordination

forums, and stakeholder engagements as assigned.

• Support alignment of project digital systems with national health information

systems, reporting requirements, and digital health priorities.

• Assist in preparing technical presentations, demonstrations, reports, and

communication materials related to digital systems and analytics.

QUALIFICATIONS

Minimum Education Requirement:

Bachelor’s degree in data science, Computer Science, Management Information Systems (MIS), Health Informatics, Information Technology, Statistics, Software Engineering, or another closely related field. Master's degree is an added advantage.

Minimum Experience Requirement:

3-5 years’ experience on implementing and supporting digital data collection, database management, analytics, dashboards, and information systems.

Demonstrated proficiency in Power BI, including DAX, Power Query, and RLS and Microsoft Excel for advanced data transformation, analysis, and visualization.

Proficiency in Python for data cleaning, automation, ETL processes, and statistical analysis.

Hands-on experience with one or more digital data collection, health information system, supply chain information system or business intelligence platforms, including DHIS2, Survey CTO, Kobo Toolbox, Open Project, RED Cap, R or STATA, LMIS, QGIS applications, or SQL databases.

Experience providing routine technical support and troubleshooting for data integration, reporting automation, dashboard development, data quality assurance, and information management processes.

Experience in public health, supply chain, TB, health information systems, or health systems strengthening programs is an advantage.

Familiarity with AI-enabled analytics and automation tools is desirable, including tools for automated data quality assurance, data cleaning, anomaly detection, analytics, and workflow automation.

Strong analytical, troubleshooting, technical documentation, communication, and stakeholder engagement skills;

Written and spoken fluency in English required; proficiency in Amharic required.

Willingness to travel within Ethiopia as required.

Knowledge & Skills:

Knowledge of digital systems, information management, data analytics, and business intelligence concepts.

Knowledge of database management, data quality assurance, and information governance principles.

Proficiency in dashboard development, data visualization, and reporting tools.

Familiarity with digital data collection platforms, GIS applications, and health information systems.

Strong analytical, troubleshooting, and problem-solving skills.

Strong technical writing, communication, and documentation skills.

Ability to work effectively with multidisciplinary teams and multiple stakeholders.

Commitment to data security, privacy, integrity, and responsible data stewardship.

MSH is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. MSH complies with Section 503 of the Rehabilitation Act, Section 4212 of the Vietnam Era Readjustment Assistance Act, as amended, and all related applicable regulations.

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