Remote

Data Visualization and Tool Digitization Expert- Consultancy

University Research Co., LLC

United States

Oct 23, 2025

Position:
Data Visualization and Tool Digitization Expert- Consultancy

Location:

Remote

Job Id:
2652

# of Openings:
1

Background:

URC is supporting the development of a cost-efficiency and return-on-investment (ROI) analysis tool to strengthen program planning and resource optimization across health programs. The tool is being refined for broader application and needs to be digitized to enable interactive analysis and visualization.

Objective:

To support the digitization of an existing cost-efficiency tool and the development of sophisticated, web-accessible dashboards that enable dynamic data analysis and reporting across multiple datasets.

Key Responsibilities:

Design and develop a secure, web-based data collection and back-end platform to support real-time data entry, storage, and management.
Digitize the existing cost-efficiency and ROI analysis tool into a user-friendly, web-accessible format.
Design and develop interactive dashboards using Power BI, DHIS2, or other suitable platforms to visualize data trends and outputs.
Analyze financial and programmatic data and prepare clear, data-driven presentations for stakeholders.
Ensure data interoperability and integration with existing health information systems where feasible.
Collaborate closely with the lead consultant and technical teams to refine data structures, analytical models, and visual outputs.
Optimize the tool for performance, usability, and scalability for potential use across multiple settings.
Provide technical documentation and brief user guidance to facilitate adoption and ongoing maintenance.

Qualifications:

Advanced degree in information systems, data analytics, public health informatics, or a related field.
Proven experience in dashboard development and data visualization using platforms such as Power BI, DHIS2, Tableau, or similar.
Demonstrated ability to digitize and automate analytical tools or models for data-driven decision-making.
Strong skills in financial data analysis and preparation of executive-level presentations.
Strong programming or data management skills (e.g., SQL, Python, R, JavaScript, or relevant web technologies).
Experience working with health, economic, or development data highly preferred.
Excellent communication skills and ability to collaborate with multi-country teams.

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