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DAI is a global development company with corporate offices in the United States, the United Kingdom, EU, Nigeria, Pakistan, and Palestine and project operations worldwide. We tackle fundamental social and economic development problems caused by inefficient markets, ineffective governance, and instability. DAI works on the frontlines of global development. Transforming ideas into action—action into impact. We are committed to shaping a more livable world.

DAI and its employees are committed to confronting racism and holding ourselves accountable for positive change within the company and in the communities, cultures, and countries in which we live and work.  DAI is committed to attracting and retaining the best employees from all races and backgrounds in our continued effort to become a better development partner.

DAI upholds the highest ethical standards. We are committed to the prevention of sexual exploitation, abuse, and harassment as well as other ethical breaches. All of our positions are therefore subject to stringent vetting and reference checks.

DAI is an equal opportunity/affirmative action employer with a commitment to diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


Data Management Analyst (MEL) Job Description

Location: United States
Location: United States of America
City/Cities Location Details: Washington DC
Job Code: 5984



Digital Frontiers is a $75 million buy-in mechanism available to USAID Bureaus and Missions from 2017-2022. DAI implements the Digital Frontiers project, which works closely with USAID’s Global Development Lab (GDL), the Center for Digital Development (CDD), USAID missions, the private sector, and international and local development organizations to identify successful and sustainable digital development approaches and scale their impact globally. 

USAID missions and other operating units can “buy in” to Digital Frontiers and essentially fund the Digital Frontiers team to design and implement digital development projects. Digital Frontiers currently implements over 25 of these buy-in projects; each with a unique scope and client within USAID.  

DAI and Digital Frontiers is committed to infusing anti-racism throughout DAI by attracting and retaining the best employees from all races and backgrounds and grow as a result of expanded perspectives. Through these efforts, DAI will become a better development partner, evolving into a strong community advocate and building dynamic partnerships to facilitate positive change.

Overall Description

Digital Frontiers is seeking a junior to mid-level data savvy MEL Specialist to join the team and oversee a complex data system. The is a long-term position which will support monitoring, evaluation efforts for the overall project as well as individual buy-in activities. The Data Management Analyst will work with the MEL team to lead the management of all project data systems, support qualitative and quantitative data analysis, develop interactive data dashboards to highlight project results, and support learning agenda implementation.


The Data Management Analyst will be responsible for managing and streamlining the various streams of quantitative and qualitative monitoring data across the project. S/he will help support the team to increase the use of data and evidence to inform adaptive management and learning. Tasks include:

Data management, analysis and reporting

  • Provide oversight of all data management and visualization software and data collection instruments, to collect, store, manage, analyze and report M&E data on results.
  • Manage and troubleshoot implementation of DAI Collect, a digital data collection tool built on Kobo Toolbox, for reporting from staff, grantees, and consultants, and activity-based monitoring tools. 
  • Support design of data collection instruments
  • Manage semi-annual USAID data calls, including data quality reviews, data cleaning, and basic analysis
  • Manage power bi workspace, included dashboard development and maintenance support
  • Contribute to qualitative coding and analysis of structured and unstructured data in project-wide qualitative database (Nvivo)
  • Support learning agenda implementation, documentation and post-activity summaries
  • Conduct regular and ad-hoc data analysis and develop reports (monthly, quarterly, annual) to demonstrate progress and contribute to rigorous, evidence-based learning activities.
  • Ensure data is input into USAID indicator reporting systems as required (directly input as appropriate)
  • Other duties as assigned

Data Quality Assurance

  • Responsible for data quality assurance, including regular data quality assessments and supporting the development of systems to support high quality performance data. 

Reports to: MEL Director, Jeff Krentel


June 2021 – End of Project, full time position


  • At least 2+ years of relevant experience in data management or monitoring, evaluation and learning work in international development or comparable work in another industry.
  • Experience managing data collection tools, data processing, quantitative and qualitative analysis, data visualization, beginner data science skills, and data cleaning.
  • Excellent communication, organizational, and interpersonal skills.
  • Experience working effectively and respectfully in diverse teams and communities around the globe.
  • Ability to meet deadlines, take initiative and accomplish work with minimal supervision.
  • Strong critical thinking capabilities with an ability to rapidly assess situational needs, develop problem solving strategies, and implement sustainable solutions.
  • Experience using digital technology for data collection, management, analysis, and reporting. 
  • Bachelor’s degree in a related discipline


  • Experience in supporting MEL, data management, or knowledge management for USAID projects
  • Experience with utilizing Kobo Toolbox for data collection, NVivo for qualitative analysis, and Power BI for the development of data dashboards

DAI is an equal opportunity/affirmative action employer with a commitment to diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin. Related Resources

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