Data Analyst - MENA Monitoring, Evaluation, & Learning Services Activity

Management Systems International (MSI), a Tetra Tech Company, is a Washington, D.C. metro area management consultancy with a 40-year history of delivering results for our clients. Our expertise is in the fields of monitoring and evaluation; democracy and governance; peace and stability; rule of law and accountability; education; gender and inclusion; strategic communications; and leadership and organizational development. MSI has implemented projects in 90 countries around the world such as Colombia, Indonesia, Jordan, Kenya, Mexico, Nigeria, Pakistan, Syria and Ukraine, and works domestically. We support clients ranging from the U.S. Government (e.g., the U.S. Agency for International Development, U.S. Department of Defense, U.S. Departments of State and Labor, and the Millennium Challenge Corporation) to large bilateral and multilateral donors (e.g., the World Bank and the United Nations Development Program). We also work with national and local governments, nongovernmental organizations (NGOs), think tanks, foundations and universities. For more information, please visit our website at www.msiworldwide.com.

Project Summary

MSI implements USAID’s Middle East & North Africa Monitoring, Evaluation, & Learning Services (MENA MELS) Activity, which supports the design and implementation of rigorous monitoring, evaluation, and learning activities for USAID’s Middle East Bureau and its operating units (OU) in 10 countries in the Middle East and North Africa, including the West Bank and Gaza. Under MENA MELS, the MSI team will conduct third-party monitoring of USAID-funded activities in the West Bank and Gaza. These third-party monitoring activities will track, verify, and collect data from implementing partners across multiple sectors, including sustained water access, economic growth, youth development, and humanitarian assistance.

• Please note: Only citizens of West Bank/Gaza are eligible for this position**

Position Summary

The Data Analyst will conduct analysis of quantitative and qualitative data collected by the project and will be expected to develop timely and concise analytical reports in English from this analysis. The Data Analyst will also have a strong role in quality assurance, including by reviewing analysis conducted by other members of the team. The Data Analyst will work closely with the Senior Data Analyst and TPM team to implement the TPM plan to ensure reporting and analysis meets USAID’s needs. The Data Analyst will work closely with the Senior Data Analyst, the third-party monitoring (TPM) team, and Team Lead to provide regular support and guidance in the areas of data management, analysis, and reporting. This is a full time position.

Responsibilities

• Develop and execute data analysis plans for discrete tasks over the course of the project, as well as train other staff members to execute said plans.
• Contribute to the development of quantitative and qualitative TPM data collection instruments in consultation with other partners and stakeholders involved in development and humanitarian programming.
• Conduct reproducible analysis using statistical programming languages or software (e.g., R, Python, or Stata) to process large amounts of raw data and organize the preparation of prepared datasets, data set codebooks, exploratory and targeted analysis, and data visualizations.
• Develop coding frameworks for the analysis of qualitative data and use these frameworks to analyze qualitative data collected by the project.
• Recognize, extract and interpret data trends from large and complex data sets and express those trends in visual graphics and clear, concise prose.
• Provide quality oversight and assurance of data collected by third parties to ensure the completeness, accuracy, robustness and timely production of all data reports.
• Help the team identify gaps in data collection approaches.
• Assist in the presentation of findings, conclusions and recommendations to program stakeholders as requested.

Required Qualifications

• Bachelor’s degree, in data science, a social science field, or statistics required.
• Minimum of three years’ relevant professional experience.
• Demonstrated proficiency and direct experience using Microsoft Excel.
• Strong interpersonal skills and ability to work on a team.
• Demonstrated experience conducting data cleaning, analysis, and reporting using quantitative data.
• Demonstrated strong analytical skills with the ability to collect, organize, analyze, and disseminate large amounts of information with attention to detail and accuracy.
• Demonstrated proficiency and direct experience using R, Python, or Stata.
• Experience with using ArcGIS or QGIS software preferred.
• Proficiency and experience with one or more mobile data collection platforms preferred.
• Oral and written proficiency in English and Arabic required.

MSI is an equal opportunity employer that values diversity and inclusion. We strive to develop and maintain a culture that honors the perspectives and identities of our employees, our communities and those impacted by our work.

We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.

MSI is an Equal Opportunity Employer/Affirmative Action/Americans with Disabilities/Veterans Employer.

Reasonable Accommodations

MSI is dedicated to hiring an inclusive workforce. If you would like to request reasonable accommodations during the application process, please email MSI.Dept.HRRecruiting@tetratechinc.onmicrosoft.com with “Reasonable Accommodations” in the title. Our recruitment team looks forward to engaging in an interactive process to provide reasonable accommodations for candidates.

Only candidates who have been selected for an interview will be contacted. No phone calls, please.

Additional Information

• Organization: 216 MSI