Job Summary

We are seeking to hire a detail-oriented, agile, and highly motivated Data Intern to support the data management, tracking, and reporting needs of a Rapid Results Initiative (RRI) for the Gitlab Eye Health & Livelihoods Project. The RRI operates on accelerated timelines to achieve high-performance targets. The Data Intern will play a crucial role in ensuring that daily and weekly performance metrics are accurately captured, cleaned, and synthesized. This role is ideal for a junior data professional or recent graduate looking to gain hands-on experience in fast-paced monitoring, evaluation, and adaptive project management.

Key Responsibilities and Duties

Data Entry, Cleaning, and Quality Assurance

• Maintain and update the RRI tracking sheets, databases, and daily dashboards.
• Review incoming data from project sites/teams to identify gaps, duplicates, or inconsistencies.
• Conduct routine data cleaning to ensure high data integrity for daily and weekly review meetings.

Monitoring & Reading Glasses Dispatchment Support

• Assist in tracking daily performance indicators against the RRI milestones.
• Support the compilation of daily and weekly progress data to help the team identify bottlenecks quickly.
• Follow up with implementation teams to ensure timely submission of data touchpoints.
• Assist in processing requests for reading glasses from facilities and sending them to the facilities

Data Visualisation & Reporting

• Assist in updating simple, highly visual data dashboards or charts that clearly communicate RRI progress to the team and stakeholders.
• Contribute to the preparation of brief weekly bulleted updates and templates for data-driven check-ins.

Qualifications & Experience

Education: Degree or recent graduate in Health Records, Statistics, Information Technology, Health Informatics, Social Sciences, or a related field with a strong quantitative component.

Technical Skills: Proficiency in Microsoft Excel (including data sorting, filtering, basic formulas).

Attention to Detail: High level of accuracy in data entry and a keen eye for spotting data anomalies.

Time Management: Ability to work efficiently under tight, daily deadlines inherent to an RRI sprint.

Competencies

Desired:

• Basic understanding of monitoring and evaluation (M&E) concepts, rapid-cycle tracking and project management.
• An interest in public health, specifically eye health programming.

Key Attributes:

• Adaptability: Thrives in a dynamic, fast-evolving project environment.
• Clear Communication: Ability to flag data issues promptly and collaborate effectively with the project team.
• Proactivity: Takes initiative to clarify data discrepancies without waiting for scheduled check-ins.

• Maintain and update the RRI tracking sheets, databases, and daily dashboards.
• Review incoming data from project sites/teams to identify gaps, duplicates, or inconsistencies.
• Conduct routine data cleaning to ensure high data integrity for daily and weekly review meetings.
• Assist in tracking daily performance indicators against the RRI milestones.
• Support the compilation of daily and weekly progress data to help the team identify bottlenecks quickly.
• Follow up with implementation teams to ensure timely submission of data touchpoints.
• Assist in processing requests for reading glasses from facilities and sending them to the facilities
• Assist in updating simple, highly visual data dashboards or charts that clearly communicate RRI progress to the team and stakeholders.
• Contribute to the preparation of brief weekly bulleted updates and templates for data-driven check-ins.

• Proficiency in Microsoft Excel (including data sorting, filtering, basic formulas).
• High level of accuracy in data entry and a keen eye for spotting data anomalies.
• Ability to work efficiently under tight, daily deadlines inherent to an RRI sprint.
• Basic understanding of monitoring and evaluation (M&E) concepts, rapid-cycle tracking and project management.
• Adaptability: Thrives in a dynamic, fast-evolving project environment.
• Clear Communication: Ability to flag data issues promptly and collaborate effectively with the project team.
• Proactivity: Takes initiative to clarify data discrepancies without waiting for scheduled check-ins.

• Degree or recent graduate in Health Records, Statistics, Information Technology, Health Informatics, Social Sciences, or a related field with a strong quantitative component.