Data Associate job opportunity. Deadline 32rd November 2021

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