EIDU Is Hiring: Learning Data Analyst, Head of Research, and Head of Measurement & Evaluation – Full-Time Permanent Jobs

Professionals seeking meaningful career opportunities in education, data analytics, research, monitoring and evaluation, and international development should explore three full-time, permanent positions with EIDU e.V. The organisation is recruiting for a Learning Data Analyst, Head of Research, and Head of Measurement & Evaluation to strengthen its Impact team and help improve educational outcomes for children at scale.

These opportunities are designed for professionals who want to use evidence, technology, research, and data-driven decision-making to address one of the world’s most important challenges: ensuring that every child has access to effective foundational education.

EIDU works with governments to strengthen public education systems, with a particular focus on literacy and numeracy. Its technology-enabled platform supports learners, teachers, education officers, and ministry staff within national education systems. As the organisation expands its work across countries, it is seeking professionals who can analyse learning data, design and lead rigorous research, and establish reliable systems for measuring programme performance and educational impact.

The vacancies offer an opportunity to contribute to an international organisation working at the intersection of education, technology, evidence generation, and public-sector systems strengthening.

Important application note: The supplied vacancy announcements do not specify an application deadline, salary range, or a closing date. Interested candidates should consult the official application pages for the latest details and application instructions.

About EIDU e.V.

EIDU believes that every child deserves the opportunity to reach their full potential and that strong foundations in literacy and numeracy are essential to achieving this goal.

The organisation partners with governments to strengthen public education systems at scale. Rather than operating only as a standalone education provider, EIDU integrates technology-enabled educational interventions into national systems, supporting the people and institutions responsible for delivering education.

Its platform serves multiple groups within the education system, including:

• Learners, who use educational interventions intended to strengthen foundational learning.
• Teachers, who are supported in delivering learning activities and improving educational practice.
• Education officers, who need information to monitor and support implementation.
• Ministry staff and government partners, who work to strengthen education delivery through national systems.

According to the supplied vacancy descriptions, EIDU works with 41 governments and expects to reach one million active students across Kenya and Nigeria in 2026. The organisation reports that its learner numbers have doubled annually over the previous five years and that it aims to reach tens of millions more learners.

EIDU also reports that a randomised controlled trial found a 0.53 standard deviation improvement in learning outcomes, placing its intervention among the top 10% of education interventions in low- and middle-income countries, according to the organisation’s description.

As EIDU continues to grow, reliable evidence and strong internal systems are essential. The three advertised roles contribute to this work in different but complementary ways: the Learning Data Analyst investigates what drives learning outcomes, the Head of Research leads rigorous studies and translates findings into programme decisions, and the Head of Measurement & Evaluation builds the systems that generate trustworthy data for operational improvement and research.

Overview of the Three EIDU Job Vacancies

EIDU is advertising three full-time, permanent positions within its Impact team.

1. Learning Data Analyst (m/f/d)

The Learning Data Analyst will investigate the relationship between learner and teacher behaviour, use of EIDU’s platform, programme coverage, and learning outcomes. This is a data-intensive position for someone who can work directly with large, complex datasets and turn findings into practical recommendations.

The successful candidate will help design experiments, analyse their results, investigate trends between experiments, and identify opportunities to improve EIDU’s education programmes and products.

Preferred locations: Kenya, Nigeria, Germany, or India. Other arrangements may be discussed.

2. Head of Research (m/f/d)

The Head of Research will lead EIDU’s education research agenda, oversee the design and implementation of high-quality studies, guide impact evaluations, and ensure research findings influence programme development and organisational decision-making.

This is a senior research leadership position for an experienced professional with an advanced degree, substantial relevant experience, strong quantitative and research skills, and a record of delivering applied research projects.

Preferred locations: Kenya, Nigeria, Germany, or India. Other arrangements may be discussed.

3. Head of Measurement & Evaluation (m/f/d)

The Head of Measurement & Evaluation will build and oversee the systems, tools, standards, and processes used to monitor EIDU’s programmes and measure their performance. The role covers data quality, monitoring frameworks, assessment tools, dashboards, reporting, data governance, and helping teams use evidence to make decisions.

This is a senior monitoring and evaluation leadership position requiring an advanced degree in a relevant field, at least eight years of equivalent professional experience, and a demonstrated record of developing and managing M&E systems or frameworks at scale.

Preferred locations: Kenya, Nigeria, Germany, or India. Other arrangements may be discussed.

The designation “m/f/d” indicates that the positions are advertised as open to applicants regardless of gender.

Position One: Learning Data Analyst (m/f/d)

About the Learning Data Analyst role

The Learning Data Analyst will form an integral part of EIDU’s Impact team. The central responsibility is to understand what learner and teacher data reveal about educational outcomes, identify where programmes are succeeding or falling short, and determine what EIDU should test or change next.

The role combines structured statistical analysis with open-ended data exploration. The analyst will examine how learners and teachers interact with the platform, how frequently they use it, how many learners are reached, how they progress through programme activities, and how these factors relate to learning outcomes.

The position is not primarily about building production machine-learning models or maintaining dashboards alone. Instead, the emphasis is on identifying meaningful patterns, testing hypotheses, evaluating interventions, and explaining what the evidence means for programme and product decisions.

Key responsibilities

1. Analyse learner and teacher behaviour

The analyst will investigate how activity on EIDU’s platform relates to educational outcomes. This includes connecting different types of data to develop a clearer understanding of programme effectiveness.

Areas of analysis will include:

• Learner and teacher activity within the application.
• Platform usage and the amount of engagement learners receive, commonly referred to as dosage.
• Programme coverage, including how many intended learners are reached.
• Learner progression through educational activities.
• Relationships between engagement, implementation, and learning outcomes.

The purpose is to move beyond simply reporting how many people use the platform. The analyst must help explain whether programme participation and patterns of use are associated with improved learning and where additional intervention may be needed.

2. Identify what is working and what needs improvement

The successful candidate will diagnose areas in which EIDU’s programmes perform well and areas in which outcomes or implementation may be weaker than expected.

The work will involve interpreting evidence, identifying potential explanations, and translating findings into clear recommendations for product or programme changes.

For example, an analysis may reveal that learners who complete particular activities demonstrate different progression patterns from learners who do not. The analyst’s responsibility would be to investigate such patterns carefully, assess what the available data can establish, and help identify the next question or intervention to test.

3. Design and analyse experiments

EIDU regularly tests changes to its products and programmes. The Learning Data Analyst will contribute to experiments from the planning stage through to final interpretation.

Responsibilities include:

• Helping formulate research questions and testable hypotheses.
• Selecting appropriate experimental methods.
• Developing randomisation designs.
• Determining suitable populations and sampling approaches.
• Conducting statistical power calculations.
• Analysing experimental results using appropriate causal methods.
• Explaining what the results indicate and what they do not establish.
• Communicating findings in ways that support programme and product decisions.

This work requires practical knowledge of experimental design and statistical analysis. Candidates should be comfortable deciding how to test a proposed change, rather than simply analysing data after an experiment has already been completed.

4. Conduct exploratory analysis between experiments

Not every useful insight comes from a formal experiment. The analyst will also investigate programme data to identify emerging patterns and determine which questions deserve further investigation.

This work may include:

• Funnel analysis to understand how learners progress through stages of engagement or programme activities.
• Cohort analysis to compare groups of learners over time.
• Fidelity analysis to examine whether interventions are implemented as intended.
• Discovery work to identify unusual patterns, possible barriers, and opportunities for improvement.

The findings will help EIDU decide what to investigate or test next.

5. Collaborate on dashboards and routine reporting

The Learning Data Analyst will work with the Operations/Business Intelligence Analyst on shared reporting surfaces, including dashboards and routine reporting.

However, the vacancy explicitly distinguishes this role from a position focused exclusively on dashboard ownership. The successful candidate is expected to use data to explain learning outcomes and generate decision-useful insights, while collaborating with colleagues responsible for related reporting systems.

6. Work with programme, operations, and learning teams

The analyst will collaborate with colleagues across the organisation to formulate relevant analytical questions. This requires understanding the practical realities of education programmes and having enough familiarity with learning science to interpret learner and teacher data meaningfully.

The role involves explaining technical findings to colleagues who may not have advanced statistical or data-analysis backgrounds.

7. Work with EIDU’s technical stack

The vacancy identifies the following technologies:

• Amazon Redshift: a data warehouse used to store and analyse large datasets.
• Metabase: a business intelligence platform used to explore data and produce visualisations or reports.
• dbt: a tool used to transform and organise data within analytics workflows.
• SQL: required for querying and analysing datasets.
• Python: required for data analysis and related statistical work.

Applicants should review these requirements carefully. Strong SQL and Python skills, alongside experience working directly with large and messy event-level datasets, are specifically requested.

Qualifications and experience required

EIDU is looking for a candidate who can combine technical competence with sound statistical judgement and clear communication.

The stated requirements include:

• Strong SQL and Python skills.
• Experience working directly with large, messy, event-level datasets.
• Practitioner-level statistics.
• Comfort with experimental design and statistical power analysis.
• Familiarity with standard causal inference methods.
• A track record of turning ambiguous event data into clear, decision-useful analysis.
• Enough learning-science literacy to ask meaningful questions about learner and teacher data.
• Ability to move between rigorous experiment analysis and exploratory discovery work.
• Excellent communication skills, including the ability to explain technical information to non-technical audiences.
• Ability to work effectively in a multicultural environment.

A formal academic background in learning science is not stated as compulsory; applied familiarity is also welcomed.

The supplied description does not specify a mandatory degree level or a minimum number of years of professional experience for this position. Applicants should check the official listing for any additional requirements.

Read more about this opportunity HERE

APPLY HERE

Who should consider applying?

This position may suit data analysts, quantitative researchers, education data specialists, and professionals with strong statistical and programming skills who want to apply their expertise to education and social impact.

It may be particularly appropriate for people who enjoy investigating complex datasets, testing hypotheses, and explaining why an intervention appears to work or fail.

Who may not be suited to the role?

EIDU explicitly indicates that the role may not suit candidates who:

• Primarily want to build production machine-learning models.
• Prefer to focus exclusively on data pipelines.
• Want to own dashboards and routine reporting without deeper analytical responsibilities.
• Require data to be clean and comprehensively documented before beginning analysis.
• Expect to work within a large analytics team.

Candidates should therefore assess whether they enjoy working with imperfect data, ambiguity, experimentation, and cross-functional collaboration.

Position Two: Head of Research (m/f/d)

About the Head of Research role

The Head of Research will lead EIDU’s capacity to produce rigorous, relevant, and responsive education research. The role combines research leadership, impact evaluation, quantitative and qualitative analysis, evidence synthesis, team management, external engagement, and the translation of findings into practical programme decisions.

The successful candidate will help determine which research questions matter most, how studies should be designed, how findings should be interpreted, and how evidence should influence programme improvement and expansion.

The Head of Research will work closely with the Head of Measurement & Evaluation. While the Head of Research leads studies and evaluations, the Head of Measurement & Evaluation is responsible for the systems and processes that generate the data those studies require.

Key responsibilities

1. Lead research design and implementation

The Head of Research will design and oversee high-quality studies that help EIDU develop, refine, and scale its education programmes.

Responsibilities include:

• Designing research studies appropriate to EIDU’s programme objectives.
• Leading impact evaluations.
• Developing research protocols and methodologies.
• Ensuring research designs are appropriate for different cultural and regional contexts.
• Maintaining high methodological standards.
• Ensuring research activities meet appropriate ethical and quality requirements.
• Working with external researchers and research collaborators to strengthen evidence generation.

The role requires the ability to select suitable methods for the questions being investigated and ensure studies are conducted rigorously.

2. Lead impact evaluations of education programmes

An important responsibility is evaluating the effects of EIDU’s interventions on children’s educational outcomes.

The research agenda may examine outcomes such as:

• Literacy development.
• Numeracy development.
• Transition outcomes for children participating in EIDU programmes.
• Differences in programme effectiveness across settings or groups.
• Factors that influence implementation and educational results.

The aim is to understand not only whether an intervention appears to produce positive results, but also how the evidence can inform improvements and future expansion.

3. Analyse quantitative and qualitative evidence

The Head of Research will analyse both quantitative and qualitative data to produce findings that can guide programme decisions.

This requires strong statistical knowledge and the ability to interpret research findings accurately, including evidence derived from studies and raw data.

The role also requires sound judgement when communicating the implications and limitations of findings. Research must be translated into practical recommendations that programme teams can understand and use.

4. Translate research into programme decisions

Generating research findings is only one part of the job. The successful candidate must ensure that the evidence informs how EIDU’s programmes are implemented, refined, and expanded.

Responsibilities include:

• Converting research findings into actionable recommendations.
• Supporting programme improvement and organisational learning.
• Helping teams understand the implications of research.
• Documenting lessons learned across programmes and countries.
• Developing systems for synthesising and sharing evidence.
• Supporting the Chief Impact Officer with analyses and evidence relevant to organisational impact priorities.

This work connects rigorous research with practical implementation, ensuring that studies contribute to better decisions rather than remaining isolated technical outputs.

5. Produce research reports and evidence products

The Head of Research will lead the preparation of high-quality materials for internal and external audiences.

These may include:

• Research publications.
• Technical reports.
• Policy briefs.
• Technical presentations.
• Evidence summaries.
• Research and impact evaluation findings for donors, governments, practitioners, and academic audiences.

The successful candidate must communicate complex methods and findings clearly without losing the accuracy or nuance of the evidence.

6. Lead and develop the research team

The position includes responsibility for mentoring, supporting, and developing research staff.

The Head of Research will promote technical excellence, collaboration, and continuous learning while helping the team deliver high-quality work.

This requires leadership experience, the ability to coordinate research projects, and a commitment to helping colleagues develop their skills.

7. Collaborate across EIDU

The Head of Research will work closely with programme, product, government, communications, and fundraising teams to ensure research is integrated into organisational priorities.

The role also involves collaborating with the Head of Measurement & Evaluation to ensure that research questions can be answered using appropriate data and measurement infrastructure.

Strong collaboration is essential because research findings must be relevant to the realities of programme implementation and the decisions facing different teams.

8. Build external research partnerships

The successful candidate will establish and maintain relationships with research institutions, evaluation partners, external researchers, and technical experts.

These relationships can help strengthen EIDU’s research capacity, support collaborative studies, and improve the quality and reach of its evidence.

9. Represent EIDU in external forums

The Head of Research will represent the organisation in research collaborations, technical working groups, conferences, and knowledge-sharing forums.

The position also supports donor engagement and external communications by providing credible evidence, research outputs, and analyses that demonstrate programme impact and strengthen EIDU’s contribution to the education sector.

Qualifications and experience required

EIDU identifies the following requirements:

• A Ph.D. or advanced degree in the social sciences, data science, education, or a related field.
• Eight or more years of relevant professional experience.
• A successful track record of developing a portfolio of applied research projects.
• Extensive statistical skills and the ability to interpret research findings accurately.
• Experience analysing studies and raw data using appropriate quantitative methods.
• Excellent communication skills, including the ability to translate technical information for non-technical audiences.
• Strong interpersonal skills and the ability to collaborate across professional levels and cultural backgrounds.
• Interest in supporting the success and development of colleagues.
• Ability to work in a start-up environment where circumstances and priorities can change quickly.
• Strong organisation, attention to detail, and process-management skills.
• Ability to take reliable, end-to-end ownership of projects.
• A desire to use professional skills to contribute to positive social change.

Experience securing funding opportunities is described as desirable. It is therefore an advantage rather than a stated absolute requirement in the supplied description.

Read more about this opportunity HERE

APPLY HERE

Who should consider applying?

This role is most appropriate for experienced research leaders, education researchers, social scientists, quantitative researchers, impact evaluation specialists, and professionals with substantial experience leading applied research programmes.

Applicants should be prepared to demonstrate more than academic qualifications alone. EIDU is looking for a record of managing research projects, interpreting evidence, producing high-quality outputs, guiding teams, and ensuring findings influence real-world decisions.

Because the position requires eight or more years of relevant experience and an advanced degree or Ph.D., it is a senior-level opportunity rather than an entry-level research position.

Position Three: Head of Measurement & Evaluation (m/f/d)

About the Head of Measurement & Evaluation role

The Head of Measurement & Evaluation will develop and manage the systems that allow EIDU to understand what is happening across its programmes and whether its work is achieving the intended results.

The position covers monitoring and evaluation framework design, assessment tools, data collection, data quality, dashboards, reporting, governance, staff capacity-building, and the use of evidence in operational decision-making.

The successful candidate will help ensure that data is trustworthy, available when needed, and useful to the people responsible for improving programmes.

The role is closely connected to the Head of Research position. The Head of Measurement & Evaluation builds and maintains the measurement infrastructure, while the Head of Research leads studies and evaluations that use the resulting data.

Key responsibilities

1. Design practical measurement systems

The Head of Measurement & Evaluation will design, pilot, and refine measurement tools and instruments suitable for EIDU’s operating environments and scale.

These may include:

• Literacy and numeracy assessments, including measures comparable to EGRA/EGMA-style assessments.
• Surveys and other data collection instruments.
• Platform and usage-data pipelines.
• Digital data collection systems.
• Monitoring tools that support programme implementation.
• Measurement procedures that can operate across different countries and programme contexts.

The role requires balancing methodological quality with practicality. Measurement tools must produce useful and reliable information while remaining appropriate for the settings in which EIDU works.

2. Develop and oversee the monitoring and evaluation framework

The successful candidate will design and oversee a comprehensive monitoring and evaluation framework in collaboration with programme and product teams.

This includes defining key performance indicators and measurable outcomes for different parts of EIDU’s work.

Responsibilities include:

• Identifying the information needed to monitor programme performance.
• Establishing clear indicators and measurement processes.
• Ensuring that data collection is aligned with programme objectives.
• Supporting consistency in how results are measured and interpreted.
• Reviewing and refining the framework as programmes evolve.

A strong M&E framework helps an organisation understand whether activities are being delivered as intended, whether expected results are emerging, and where corrective action may be necessary.

3. Establish data quality standards

Reliable decisions depend on reliable data. The Head of Measurement & Evaluation will establish and maintain data quality standards, validation processes, and protocols across monitoring and data collection activities.

This includes identifying possible errors, inconsistencies, missing information, and other quality problems that could affect the interpretation of programme performance.

The role also involves maintaining systems for tracking quality issues and ensuring that the appropriate teams address them.

4. Select and manage measurement and analysis tools

The Head of Measurement & Evaluation will oversee the selection, configuration, and administration of tools used for data collection and analysis.

Examples in the vacancy include:

• Mobile data collection platforms.
• Dashboards.
• Statistical software.
• Business intelligence and data analysis tools.
• Other systems used to collect, validate, organise, and interpret programme information.

The role requires collaboration with product and data engineering teams so that the tools and underlying systems meet the organisation’s measurement needs.

5. Make data accessible and useful

A key responsibility is ensuring that programme and platform data can be understood and used by colleagues throughout EIDU, not only by technical specialists.

The Head of Measurement & Evaluation will develop dashboards, routine reporting, and other mechanisms that make information accessible.

The successful candidate will also help programme, government, and country teams interpret evidence and use it to make decisions, adapt programmes, and report to donors.

This includes building the capacity of non-technical colleagues to understand data confidently and act on findings.

6. Develop learning agendas with programme teams

The role involves developing and driving learning agendas that help programme teams identify what they need to understand about implementation and performance.

Monitoring data and interim findings should be fed back into programme and product design on an ongoing basis.

Rather than treating monitoring as an administrative exercise, EIDU wants measurement to support continuous learning and improvement.

7. Identify trends, risks, and implementation problems

The Head of Measurement & Evaluation will analyse monitoring data to identify emerging trends, flag risks, and detect implementation problems early.

The successful candidate will recommend corrective action where the evidence indicates that programmes may not be progressing as expected.

This requires analytical judgement, close collaboration with operational teams, and the ability to distinguish between data-quality problems and genuine implementation challenges.

8. Maintain data systems and documentation across countries

EIDU works with numerous government partners and across multiple countries. Maintaining consistent measurement standards is therefore a significant responsibility.

The role includes maintaining core M&E data systems and documentation to support consistency and comparability of indicators across EIDU’s 41-plus government partnerships and different operating contexts.

The successful candidate will help ensure that data is collected, documented, and interpreted according to appropriate standards.

9. Strengthen data governance, ethics, and protection

The Head of Measurement & Evaluation will ensure that monitoring and evaluation activities meet appropriate ethical, data-protection, and quality standards.

This is particularly important when collecting and analysing information relating to children, teachers, schools, and public education programmes.

The role requires an approach to measurement that balances useful evidence with responsible data management.

10. Support research and impact evaluations

The Head of Measurement & Evaluation will work closely with the Head of Research to ensure the organisation’s measurement infrastructure can support rigorous studies and impact evaluations.

This includes making sure that the required data, indicators, collection systems, and documentation are available to answer important research questions.

11. Lead and develop the M&E team

The role includes mentoring and developing the monitoring and evaluation team, promoting technical excellence, collaboration, and continuous learning.

The successful candidate will also work with programme, product, government, communications, and fundraising teams to embed sound measurement practices into day-to-day operations.

In addition, the Head of Measurement & Evaluation will support the Chief Impact Officer with the monitoring evidence and data needed to inform organisational impact priorities.

Qualifications and experience required

The supplied vacancy description specifies the following:

• An advanced degree in monitoring and evaluation, statistics, data science, social sciences, or a related quantitative field.
• Eight or more years of equivalent professional experience.
• A demonstrated track record of designing and managing M&E systems or frameworks at scale.
• Experience in education or another social sector is desirable.
• Experience working in low- and middle-income country contexts is desirable.
• Strong analytical and critical-thinking skills.
• Proficiency with statistical, data-analysis, or visualisation tools such as SQL, R, Python, Power BI, or similar technologies.
• Familiarity with mobile or digital data collection tools.
• Excellent facilitation and capacity-building skills.
• Ability to help non-technical colleagues understand and use data confidently.
• Excellent communication skills and the ability to explain technical information to diverse audiences.
• Strong interpersonal skills and an ability to collaborate across different professional levels and cultural backgrounds.
• Ability to operate effectively in a start-up environment with complex and changing circumstances.
• Strong organisation, attention to detail, and process-management skills.
• Ability to take reliable end-to-end ownership of projects.
• A desire to use professional expertise to contribute to positive social change.

Experience in education, social-sector programmes, and low- and middle-income settings is presented as desirable in the supplied announcement, rather than as an absolute condition for every applicant.

Read more about this opportunity HERE

APPLY HERE

Who should consider applying?

This position is particularly suited to experienced monitoring and evaluation managers, M&E specialists, impact measurement professionals, quantitative researchers, and data specialists who have built or managed measurement systems at scale.

Candidates should be comfortable with both the technical side of measurement and the practical work of helping teams use data. The role is not limited to producing reports; it requires designing systems, maintaining standards, building staff capacity, and ensuring that findings lead to better programme decisions.

The advanced-degree requirement and eight-plus years of equivalent experience make this a senior professional opportunity.

What the Three Positions Have in Common

Although the responsibilities differ, all three vacancies contribute to EIDU’s goal of improving educational outcomes through technology, evidence, and stronger education systems.

A shared commitment to social impact

EIDU seeks people who want to use their professional skills to contribute to positive social change. Each role supports the organisation’s efforts to improve foundational learning and strengthen public education systems.

An international working environment

The vacancy descriptions highlight an international team located in Kenya, Germany, and Nigeria. The organisation is seeking people who can communicate effectively and collaborate across cultures and professional backgrounds.

India is also listed among the preferred locations for the three positions, and EIDU states that other location arrangements may be discussed.

Collaboration across technical and operational teams

All three positions require collaboration with people outside the immediate specialist function. Analysts and researchers must communicate evidence clearly, while measurement leaders must help programme and government teams use information in practice.

Flexibility and professional growth

EIDU describes an open environment in which feedback is welcomed and mutual growth is encouraged. It also advertises a high degree of flexibility regarding working hours and vacations.

The supplied descriptions do not provide specific details on salary, relocation assistance, visa sponsorship, insurance, or other employment benefits. Candidates should confirm these matters directly through the official vacancy pages or during recruitment.

Which EIDU Position Should You Choose?

The best position depends on your skills, qualifications, and level of professional experience.

Choose Learning Data Analyst if:

• You have strong SQL and Python skills.
• You enjoy working with large datasets and investigating complex patterns.
• You have practical statistical knowledge, including experimental design and causal analysis.
• You want to identify what drives learning outcomes and recommend programme improvements.
• You prefer hands-on analysis over a role focused primarily on people management.

Choose Head of Research if:

• You have a Ph.D. or advanced degree in a relevant field.
• You have at least eight years of relevant professional experience.
• You have led applied research projects and impact evaluations.
• You can manage a research team and develop external research partnerships.
• You can translate research findings into programme decisions, publications, and policy-relevant evidence.

Choose Head of Measurement & Evaluation if:

• You have an advanced degree in M&E or a related quantitative field.
• You have at least eight years of equivalent professional experience.
• You have built or managed M&E frameworks or measurement systems at scale.
• You understand data quality, indicators, digital data collection, dashboards, and reporting.
• You can lead a team and help non-technical colleagues use evidence effectively.

These are distinct positions, not interchangeable titles. Applicants should prioritise the vacancy that best matches their demonstrated expertise and the requirements stated in the relevant job description.

How to Apply for the EIDU Vacancies

The supplied vacancy text identifies the positions as full-time, permanent employment opportunities and includes an “Apply for this job” prompt. However, it does not contain the direct application URLs.

To apply:

1. Visit EIDU’s official website or recruitment portal.
2. Locate the vacancy for the Learning Data Analyst, Head of Research, or Head of Measurement & Evaluation position.
3. Read the complete vacancy notice and confirm the current application status.
4. Review the required qualifications, technical skills, experience, location arrangements, and any additional documents requested.
5. Prepare an updated CV or résumé that clearly demonstrates your relevant experience.
6. For senior positions, highlight research leadership, M&E systems development, team management, impact evaluations, and examples of evidence influencing programme decisions, where applicable.
7. For the Learning Data Analyst position, clearly demonstrate your SQL, Python, statistical analysis, experimental design, and work with complex datasets.
8. Submit the application using the official recruitment system and follow any additional instructions provided by EIDU.

Application deadline: No deadline was stated in the supplied vacancy descriptions. Applicants should check the official listings to determine whether the positions remain open and whether any closing date has been announced.

Location: Kenya, Nigeria, Germany, or India are preferred. EIDU states that other arrangements are open to discussion.

Employment type: Full-time, permanent employee.

Salary and sponsorship: The supplied information does not state the salary or confirm whether relocation assistance, work-permit support, or visa sponsorship is available. International applicants should verify these points with EIDU rather than assume they are included.

Conclusion

The three EIDU vacancies offer opportunities for professionals who want to contribute to education improvement through data, research, and evidence-based decision-making.

The Learning Data Analyst role focuses on understanding how learner and teacher behaviour relates to educational outcomes, using statistical methods and experiments to identify opportunities for improvement. The Head of Research role is a senior research leadership position responsible for producing rigorous evidence, leading impact evaluations, managing research teams, and translating findings into programme decisions. The Head of Measurement & Evaluation role focuses on building reliable monitoring systems, defining indicators, ensuring data quality, and helping teams use information to improve implementation and outcomes.

All three positions are advertised as full-time and permanent, with Kenya, Nigeria, Germany, and India listed as preferred locations. Candidates should carefully assess the different technical, academic, and professional experience requirements before applying.

Because no closing date or direct application URL was included in the supplied information, prospective applicants should consult EIDU’s official recruitment portal for the latest vacancy details, application instructions, and confirmation of whether applications remain open.

For professionals whose experience matches the requirements, these positions represent an opportunity to help strengthen education systems and improve learning outcomes through rigorous analysis, research, and measurement.

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