Associate, Program Measurement & Insight at Teaching at the Right Level (TaRL)

Teaching at the Right Level Africa (TaRL Africa) is a newly formalised partnership between Education NGO, Pratham, and research centre J-PAL, who have been working together developing cost-effective, scalable literacy and Numeracy interventions for more than 15 years. The fruits of these efforts have been the development of what we now refer to as the TaRL.

The TaRL approach, pioneered by Pratham, helps children develop basic reading and numeracy skills. In TaRL classroom: children are assessed on basic reading and numeracy using a simple tool; grouped by learning level, rather than by grade, for a dedicated time when they focus building foundational skills through activities and materials appropriate for each group. As children progress, they move to the next learning group and continue to grow.

We are recruiting to fill the position below:

Job Title: Associate, Program Measurement & Insight 

Location: Kaduna
Job Schedule: Full time (On-site)
Reports to: Country Regional Manager & Coordinator PM&I

Summary of the Role

• The PM&I Associate supports data collection, review, and reflection processes that help improve the quality and impact of Teaching at the Right Level (TaRL) programs across the region.
• This role is ideal for an early-career professional looking to apply and grow monitoring and data analysis skills within a collaborative, learning-focused environment.
• The PM&I Associate will contribute to the timely and accurate generation of program data and provide technical support to ensure data is used to guide decisions and improve student outcomes.

Key Responsibilities
Support Routine Data Collection and Processing (30%):

• Expected Outcome: Reliable and timely data is gathered from schools and program activities.
• Impact: Monitoring data is available for program reviews and decision-making.
• Contribution: Maintains consistency and accuracy in ongoing program reporting.

Assist in Field Monitoring and Documentation (25%):

• Expected Outcome: Field visits generate useful insights for program reflection and course correction.
• Impact: Implementation issues are identified and resolved early.
• Contribution: Field-based evidence improves classroom practice and program delivery.

Contribute to Data Analysis and Visualization (20%):

• Expected Outcome: Program dashboards and reports accurately reflect trends and progress.
• Impact: Teams and stakeholders are better informed about program performance.
• Contribution: Enhances transparency and learning across teams.

Facilitate Basic Training and Support for Government Partners (15%):

• Expected Outcome: Local officials are more confident in collecting and interpreting data.
• Impact: Increased use of evidence in decision-making at the local level.
• Contribution: Builds long-term sustainability of data systems within public structures.

Participate in Learning and Research Activities (10%):

• Expected Outcome: Contributions to studies and learning projects add value to broader organizational knowledge.
• Impact: New ideas and tools are tested and refined.
• Contribution: Supports innovation and adaptation in TaRL programming.

Education, Experiences and Qualifications
Required:

• A Bachelor’s Degree in Economics, M&E, Social Sciences, Development Studies,  or a related field required.
• 2-4 years relevant work experience.
• Strong data analysis skills with proven experience working with data software, including data collection, analysis and visualization platforms (Required: Advanced Excel; Strongly preferred: STATA, Kobo Collect, Power BI, SurveyCTO).

Preferred:

• Experience working in the development or education in Nigeria.
• Familiarity with M&E frameworks and systems. Familiarity with RCTs is an added advantage.
• Familiarity with national learning assessment data.
• Familiarity with econometric and program evaluation techniques.
• Strong preference for Nigeria national.

Key Competencies:
Data Literacy:

• Description: Understands basic principles of data collection, entry, and analysis.
• Demonstrated by: Supporting accurate school-level data collection and maintaining clean datasets.

Field-Level Collaboration:

• Description: Works closely with school actors and government partners to support monitoring.
• Demonstrated by: Participating in field visits and follow-ups with local education officers.

Technical Curiosity:

• Description: Shows interest in data systems and asks relevant questions to improve processes.
• Demonstrated by: Engaging in team learning meetings; identifying data inconsistencies or gaps.

Results Orientation:

• Description: Focuses on ensuring routine activities are completed with accuracy and timeliness.
• Demonstrated by: Meeting reporting deadlines; checking data quality before submission.

Communication and Teamwork:

• Description: Works collaboratively with internal teams and external stakeholders.
• Demonstrated by: Sharing field insights in team discussions; responding constructively to feedback.

Application Closing Date
16th March, 2026.