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Senior Quantitative Data Analyst for USAID/Jordan General Population Survey

About Us

The Jordan Monitoring Evaluation and Learning Activity (MELA) is designed to ensure USAID’s activities in Jordan achieve their intended results through monitoring and evaluation, strategic assessments, and USAID’s Collaborating, Learning, and Adapting approach (CLA). Kaizen is helping USAID/Jordan create a dynamic learning environment among development actors, with a focus on innovation, quality, and knowledge sharing. Through the Kaizen Accelerator, a rapid procurement mechanism, a cohort of Jordanian firms work with Kaizen's MELA team to deliver activities while simultaneously strengthening their management and compliance systems. The Kaizen approach provides USAID with high-quality MEL services across its portfolio, builds the capacity of local MEL institutions, and ensures programs meaningfully incorporate local participation. The MELA team ensures program sustainability by building the technical and institutional capacity so that one or more local firms can manage the follow-on MEL Activity in the future.  


In 2017, USAID/Jordan commissioned a large-scale survey of Jordanian adults (“General Population Survey” or “Survey”) to collect Mission project/activity performance data. (See the full report here.) USAID/Jordan designed this Survey to support its learning and decision making by providing a better understanding of the context in which its projects/activities are implemented, offering its implementing partners data which were critical to their activity planning and implementation, as well as exploring determinants of indicator performance from the Country Development Cooperation Strategy (CDCS) 2013-20.

MELA’s predecessor project, the Monitoring & Evaluation Support Project (MESP), administered this Survey between June and September 2018, surveying nearly 12,000 Jordanians with approximately 95 questions.

USAID/Jordan intended at that time to administer this Survey periodically in order to identify changes over time. USAID/Jordan recently requested MELA to conduct a second round of the General Population Survey. This second round of the Survey will explore determinants of indicator performance from the CDCS 2020-25 across the following Development Objectives:

  • DO 1: Inclusive private sector-led growth
  • DO 2: Jordan's ability to improve its water security strengthened
  • DO 3: Equitable, democratic governance strengthened
  • DO 4: Human potential accelerated
  • DO 5: Agency and leadership of women and youth enhanced.

MELA is seeking a Senior Quantitative Data Analyst to oversee the activities of the vendor which will collect data, analyze the data, and prepare tables and graphs depicting the findings. This assignment is for approximately 72 days between about October 2021 and September 2022, with most of the effort expended in the last three months. Some travel to Amman, Jordan may be expected.

Roles & Responsibilities:

  • Review background documents to better understand the Survey’s scope and key requirements. These documents include but are not limited to the previous General Population Survey Report 2019, Survey data collection instruments, and previous data sheets/analysis.
  • Review the vendor’s proposed approach to collecting data and oversee the implementation to ensure proper methodologies and techniques are being used. This will include frame development, sampling, data collection, quality control, data processing, weighting for non-coverage and non-response bias, estimation of sampling error, and cleaning of data.
  • Work closely with the Survey team to analyze the data across multiple variables and identify trends, responding to USAID/Jordan’s learning agenda for decision making. Create tables,      graphs, and other visual depictions of the data that are responsive to the end users’ needs.
  • Provide detailed write-up of methodology.
  • Perform the specific duties described above as well as others that may otherwise be assigned.


  • 8 or more years of experience with large-scale surveys, including frame development, sampling, cleaning of data, measurement of sampling error and nonresponse bias, and weighting.
  • University degree, preferably Master's degree, with at least 15 semester hours in Statistics
  • Highly motivated and flexible in working with team members in different time zones and with tight and shifting deadlines. Comfortable with rapid back and forth exchanges among team members.
  • High level of expertise using Excel, SPSS, and/or STATA.
  • Skilled at technical writing in English. Proficiency in Arabic preferred.

For candidates applying for positions based in Kaizen's office in Washington, DC, we utilize to mitigate bias in the recruitment process. Upon submitting an application, candidates will receive an email from, prompting them to go through the anonymous screening. In order to be considered for a role, candidates must respond to and proceed with the application. We do not currently use for project positions outside of the United States.

At Kaizen, A Tetra Tech Company, we find strength in our diversity. We are committed to creating and sustaining an inclusive working environment in which everyone has an equal opportunity to fulfill their potential. We know that we can only do development differently if we are open to and inclusive of new and unique perspectives. We encourage candidates of all abilities, ages, gender identities and expressions, national origins, races and ethnicities, religious beliefs, and sexual orientations to apply. Further, we urge parents and non-parents, married and unmarried, those from different or non-traditional educational backgrounds, and persons of all other diverse identities or experiences to apply. Kaizen is an equal opportunity employer.

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