1.Data Associate
Job Description
Data Associate, USAID-Rwanda Schools and Systems Activity
FHI 360 is a global development organization, with a rigorous, evidence-based approach to human development. Our team of professionals includes experts in education, health, nutrition, economic development, civil society, environment, and research. FHI 360 operates from over 60 offices with more than 4000 employees in the United States and around the world. Our commitment to partnerships at all levels and our multidisciplinary approach allows us to have a lasting impact on the people, communities, and countries we serve by improving the lives of millions. We are currently seeking qualified candidates for the position of Data Associate for the Schools and Systems (S&S) USAID-funded project in Rwanda.
Project Description
The Rwanda Schools and Systems activity will strengthen the education system to enable all pre-primary and lower primary school and classroom environments to be of high quality, inclusive, and focused on the learning of foundational reading skills. Specifically, the five-year activity will improve learning outcomes by focusing on increasing Kinyarwanda literacy skills of boys and girls through primary 3 (P3) through four intermediate results: (1) Pre-primary education system enhanced to develop, promote and improve emergent literacy, (2) Lower primary reading classroom instruction improved, (3) School environments improved for increased lower primary reading outcomes, and (4) Education management systems strengthened for improved literacy outcomes. S&S will include a focus on learning for children with disabilities to ensure project approaches reach all children.
Position Description
The Data Associate will provide support to the Monitoring, Learning, and Evaluation (MEL) Officer and Director in implementing MEL and program research activities. S/he will support in the development of data capturing tools to be used on mobile devices and in field-testing and general data collection processes. Furthermore, s/he will support data analysis, maintain the database and conduct preliminary data cleaning. He/she will also provide support to the Education Management Systems Strengthening component of the project by contributing to the capacity building of education systems actors in education data management
Job Summary/Responsibilities
- Assist the MEL Officer and MEL Director in developing mobile-based data collection instruments
- At least 3 years of experience in data systems management
- Develop and maintain database, develop data abstraction algorithm, ensure data abstracted and collected is uploaded, and perform preliminary data cleaning.
- Support in the design, implementation, and track of queries;
- coordinate with other MEL and project staff to resolve data problems.
- Supports data collection, data entry & data analysis based on study requirements
- Manage, reformat, enter, edit, merge and maintain data in preparation for analysis
- Study data validation checks
- Program, test, maintain and update data entry applications for manual data entry or electronic data capture.
- Support the planning, implementation, and documentation of data audits and data quality site visits.
- Contribute to preparing program presentations by supplying analyzed data in form of graphics, etc.
- Define and execute processes for identifying potential data problems due to transcription, keying, or recording errors.
- Use statistical software for qualitative and quantitative analysis like R, SAS, STATA, Nvivo, MAXQDA, etc to efficiently analyze data and prepare reports.
Required Skills and Qualifications
To perform this job successfully, the individual must be able to perform each essential duty and responsibility satisfactorily. The qualifications listed below are representative of the required knowledge, skills, and/or abilities needed to perform the principal duties.
- Bachelor’s Degree in statistics, mathematics, informational technology, demography, social sciences with specialization in research and data management.
- At least 5 years’ experience working in human development as a data Associate
- Proven experience in students learning assessment using Early Grade Reading Assessment tools or related assessment tools
- Proven experience in monitoring and evaluation of large-scale education projects
- Data management skills with a proven understanding of the principles of data management and administration.
- IT and database skills with familiarity with modern databases and IT systems and how they work.
- Analytical skills with proficiency in analyzing large amounts of data.
- Problem-solving skills to be able to tackle problems under pressure.
- Communication skills with excellent verbal and written communication skills. Fluency in English is required.
Supervision:
The Data Associate will provide MEL and research technical support to the M&E Team in implementing MEL and research activities. As teamwork is crucial to the success of the project, the Data Associate will be expected to closely coordinate with other project staff, as per direction from the MEL Officer and Director.
Location of Assignment:
The location of the assignment is Kigali, Rwanda with intermittent travel throughout the country.
The above statements are intended to describe the general nature and level of work and are subject to modification. They are not intended to be an exhaustive list of all responsibilities, skills, efforts, or working conditions associated with the job.
This job description summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time.
We offer competitive compensation and a package of exceptional benefits. Please visit the FHI 360 Career Center at http://www.fhi360.org/careers for a list of all open positions.
FHI 360 is an employer with equal opportunity and affirmative action. FHI 360 is committed to providing equal employment opportunities regardless of race, color, religion, gender, sexual orientation, national or ethnic origin, age, disability, or veteran status in policies, programs, or activities.
The deadline: November 23rd, 2021
2.Decentralized Level support Coordinator
Job Description
Decentralized Level support Coordinator, USAID-Rwanda Schools and Systems Activity
FHI 360 is a global development organization, with a rigorous, evidence-based approach to human development. Our team of professionals includes experts in education, health, nutrition, economic development, civil society, environment, and research. FHI 360 operates from over 60 offices with more than 4000 employees in the United States and around the world. Our commitment to partnerships at all levels and our multidisciplinary approach allows us to have a lasting impact on the people, communities, and countries we serve by improving the lives of millions. We are currently seeking qualified candidates for the position of Decentralized Level support Coordinator for the Schools and Systems (S&S) USAID-funded project in Rwanda.
Project Description
The Rwanda Schools and Systems (S&S) activity will strengthen the education system to enable all pre-primary and lower primary school and classroom environments to be of high quality, inclusive, and focused on learning of foundational reading skills. Specifically, the five-year activity will improve learning outcomes by focusing on increasing Kinyarwanda literacy skills of boys and girls in pre-primary through primary 3 (P3) through four intermediate results: (1) Pre-primary education system enhanced to develop, promote and improve emergent literacy, (2) Lower primary reading classroom instruction improved, (3) School environments improved for increased lower primary reading outcomes, and (4) Education management systems strengthened for improved literacy outcomes. S&S will include a focus on learning for children with disabilities to ensure project approaches reach all children.
Position Description
The Decentralized Level Support Coordinator will work in close collaboration with the Literacy Data Use Specialist and the Systems Strengthening/Results 4 Lead to support the project’s efforts to build the capacity of Decentralized-level Ministry of Education structures in interpreting Local Early Grade Reading Assessment (LEGRA) data and using it systematically to make decisions for improving reading instruction and learning outcomes for all students.
Job Summary/Responsibilities
- Coordinate at the decentralized level the delivery of technical assistance to decentralized-level education actors designed to improve their capacity to use reading assessment data to make decisions to improve reading instruction and outcomes for all students in lower primary.
- Support project’s efforts to promote lower primary teachers’ use of evidence-based and inclusive literacy pedagogy as well as improve the implementation of remedial reading instruction programming informed by LEGRA data
- Participate in the review and updating of literacy remediation guidelines for use in Continuous Professional Development (CPD) for teachers, coaches, and Communities of Practice (COPs).
- Support the project’s efforts to ensure efficient and effective education resource management towards the improvement of reading outcomes at decentralized levels
- Support the project’s efforts to build the capacity of decentralized structures to respond to shocks and unpredicted emergency situations by ensuring schools and school-communities/parents plan for continuity of early grade reading instruction.
- Work in close collaboration with the field-based community level support coordinators and the Senior Decentralized Education coordinator at a partner organization to ensure efficient support to decentralized education systems actors in the implementation and monitoring of field activities.
- Formatively evaluate teacher’s fidelity of implementation of LEGRA assessment and remediation program in authentic classroom situations.
- Plan, coordinate, and facilitate training (CPD) for decentralized education staff to support them to apply newly developed procedures for literacy data collection, data interpretation, and data-based action planning
- Support decentralized actors to prioritize support efforts, including identification of literacy training/CPD for school staff based on multiple sources of data
Required Skills and Qualifications
- To perform this job successfully, the individual must be able to perform each essential duty and responsibility satisfactorily. The qualifications listed below are representative of the required knowledge, skills, and/or abilities needed to perform the principal duties.
- At the least a bachelor’s degree in education administration, Curriculum, and Instruction with emphasis on reading, literacy, linguistics, or a related field
- At least 2 years of experience coordinating technical assistance to decentralized-level education actors in Rwanda
- Recognized expertise in early-grade reading systems strengthening approaches and activities
- Expertise in policy and implementation of programs for early-grade reading reform is highly desirable
- Solid experience supporting decentralized level education actors in efforts to improve instruction
- Demonstrated leadership, versatility, and integrity.
- Excellent written and oral communication skills in English
Supervision:
The Decentralized Level Support Coordinator will support the Literacy Data Use Specialist and report to the Systems Strengthening/Results 4 Lead to deliver technical assistance to develop decentralized Ministry of Education actors; capacity to interpret and utilize data in making decisions to improve reading instruction and learning outcomes for all lower primary students. As teamwork is crucial to the success of the project, the Decentralized Level Support Coordinator will be expected to closely coordinate with other project staff, as per direction from the Literacy Data Use Specialist and Systems Strengthening/Results 4 Lead.
Location of Assignment:
The location of the assignment is Kigali, Rwanda with intermittent travel throughout the country.
The above statements are intended to describe the general nature and level of work and are subject to modification. They are not intended to be an exhaustive list of all responsibilities, skills, efforts, or working conditions associated with the job.
This job description summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time.
We offer competitive compensation and a package of exceptional benefits. Please visit the FHI 360 Career Center at http://www.fhi360.org/careers for a list of all open positions.
FHI 360 is an employer with equal opportunity and affirmative action. FHI 360 is committed to providing equal employment opportunities regardless of race, color, religion, gender, sexual orientation, national or ethnic origin, age, disability or veteran status in policies, programs, or activities.
The deadline: November 23rd, 2021.
3.Literacy Data Use Specialist
Job Description
Literacy Data Use Specialist, USAID-Rwanda Schools and Systems Activity
FHI 360 is a global development organization, with a rigorous, evidence-based approach to human development. Our team of professionals includes experts in education, health, nutrition, economic development, civil society, environment, and research. FHI 360 operates from over 60 offices with more than 4000 employees in the United States and around the world. Our commitment to partnerships at all levels and our multi-disciplinary approach allows us to have a lasting impact on the people, communities, and countries we serve by improving the lives of millions. We are currently seeking qualified candidates for the position of Literacy Data Use Specialist for the Schools and Systems (S&S) USAID-funded project in Rwanda.
Project Description
The Rwanda Schools and Systems activity will strengthen the education system to enable all pre-primary and lower primary school and classroom environments to be of high quality, inclusive, and focused on learning of foundational reading skills. Specifically, the five-year activity will improve learning outcomes by focusing on increasing Kinyarwanda literacy skills of boys and girls through primary 3 (P3) through four intermediate results: (1) Pre-primary education system enhanced to develop, promote and improve emergent literacy, (2) Lower primary reading classroom instruction improved, (3) School environments improved for increased lower primary reading outcomes, and (4) Education management systems strengthened for improved literacy outcomes. S&S will include a focus on learning for children with disabilities to ensure project approaches reach all children.
Position Description
The Literacy Data Use Specialist will work in close collaboration with the Systems Strengthening/Results 4 Lead to support the project’s efforts to build the capacity of Ministry of Education (Rwanda Basic Education Board/REB and the National Examination and School Inspection Authority/NESA) in taking on independent management of the Local Early Grade Reading Assessment (LEGRA) data system and using it systematically with other sources of data to make system-wide decisions. This includes decisions that apply at the national level as well as making changes and targeting support for district, sector, and school levels for improving reading instruction and literacy learning outcomes for all students.
Job Summary/Responsibilities
- Work closely with NESA, with the possibility of being located partly or fully within NESA for a period of time to be decided, to provide direct support to NESA for management of the LEGRA data collection and data visualization systems (back-end technology, data cleaning, data management, data analysis, etc.)
- Support NESA to fully institutionalize LEGRA tools and processes over the life of the S&S project, including gap analysis and support to needs in relation to all aspects of LEGRA (budgeting, planning, technical capacity strengthening, definition of roles, etc.)
- Support NESA with other databases supporting literacy-related functions as prioritized in work planning by S&S and NESA (such as TMIS and CA-MIS)
- Connect NESA with relevant S&S expertise as well as seeking out other support as needed, to assure NESA has the capacity to sustainably manage the LEGRA system
- Work with NESA to review LEGRA data collection events to determine successes and needs, gaps or challenges for implementation at national, district, sector, and school levels, and to continually improve LEGRA planning and implementation processes
- Support NESA/REB coordination on LEGRA data visualization and use, as well as supporting NESA as needed in responding to needs expressed by external entities for LEGRA data (Rwandan govt and NGOs and development partners)
- Coordinate the delivery of technical assistance to REB and NESA designed to improve their capacity to use reading assessment data to make system-wide decisions to improve reading instruction and outcomes for all students in lower primary.
- Support S&S efforts to promote lower primary teachers’ use of evidence-based and inclusive literacy pedagogy, and remedial reading instruction as informed by LEGRA data
Required Skills and Qualifications
To perform this job successfully, the individual must be able to perform each essential duty and responsibility satisfactorily. The qualifications listed below are representative of the required knowledge, skills, and/or abilities needed to perform the principal duties.
- Bachelor’s degree or Master’s in database management, computer science, research, and evaluation or education assessment and evaluation
- At least 3 years of experience managing systems of data collection analysis, visualization, and data-driven decision making
- Proven capacity to work with Rwandan government counterparts
- Strong understanding of Rwandan education system preferred
- Demonstrated experience/ proficiency in programming/ statistical analysis
- Expertise in data management, data analysis, and ability to navigate across different databases (data structures and software)
- Expertise in data process modeling
- Experience with literacy data collection EGRA/LEGRA or other preferred
- Demonstrated leadership, versatility, and integrity.
- Excellent written and oral communication skills in English
Supervision:
The Literacy Data Use Specialist will support the Systems Strengthening/Results 4 Lead in delivering technical assistance to develop REB and NESA’s capacity to manage, analyze, interpret and utilize data in making system-wide decisions to improve reading instruction and learning outcomes for all lower primary students. As teamwork is crucial to the success of the project, the Literacy Data Use Specialist will be expected to closely coordinate with other project staff, as per direction from the Systems Strengthening/Results 4 Lead and the Senior Technical Advisor.
Location of Assignment:
The location of the assignment is Kigali, Rwanda with intermittent travel throughout the country.
The above statements are intended to describe the general nature and level of work and are subject to modification. They are not intended to be an exhaustive list of all responsibilities, skills, efforts, or working conditions associated with the job.
This job description summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time.
We offer competitive compensation and a package of exceptional benefits. Please visit the FHI 360 Career Center at http://www.fhi360.org/careers for a list of all open positions.
FHI 360 is an employer with equal opportunity and affirmative action. FHI 360 is committed to providing equal employment opportunities regardless of race, color, religion, gender, sexual orientation, national or ethnic origin, age, disability, or veteran status in policies, programs, or activities.
The deadline: November 23rd, 2021.
