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  • Posted: Oct 18, 2024
    Deadline: Oct 24, 2024
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    DAI is a global development company working on the frontlines of international development consulting. We are committed to shaping a more livable world. We tackle fundamental social and economic development problems caused by inefficient markets, ineffective governance, and instability. We work with a wide range of clients, including national and local go...
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    Data Enumerator-AGOA Reserach Study

    The Data Enumerator is responsible for collecting data from companies across Kenya in an accurate and timely manner, on the role of the African Growth and Opportunity Act (AGOA), in uplifting workers' rights and safety standards particularly within key sectors of Apparel and Textile and Specialty Foods, both within African firms that directly supply to US buyers as well as among other African firms in the wider ecosystem. The ideal candidate will be responsible for conducting surveys, interviews, and field data collection using a mix of data collection tools while ensuring the integrity of the data gathered. This is a part-time, temporary position, and the role requires individuals who can work independently, travel locally, and ensure the integrity and confidentiality of all collected data. Having experience in data visualization, mapping software, and possessing strong analytical skills – would be considered a plus.

    KEY DUTIES AND RESPONSIBILITIES

    • Conduct face-to-face, phone, or online interviews with individuals or businesses to collect relevant data.
    • Administer and record responses using mobile devices, online tools, or paper forms as per activity guidelines.
    • Ensure all data is collected in line with ATI guidelines and standards.
    • Perform data cleaning, validation, and transformation to ensure accuracy and completeness of data.
    • Support with interactive dashboards, graphs, and charts that help stakeholders understand key data trends including using mapping software (e.g., ArcGIS, QGIS) to visualize geographic data and create detailed maps.
    • Collaborate with supervisor to interpret data and present actionable insights.
    • Provide regular updates on data collection and analysis progress.
    • Maintain confidentiality and protect the privacy of respondents.
    • Assist in data verification and clarification when needed.

     REPORTING

    The Data Enumerator reports to Associate Director Data Analytics.

    QUALIFICATIONS

    • Bachelor’s degree in Data Science, Statistics, or a related field.
    • 4+ years of experience in data collection, field research, or surveys, especially within a business or economic development context.
    • Strong attention to detail, with the ability to ensure data accuracy and completeness.
    • Comfortable working with data collection tools, such as mobile apps or spreadsheets.
    • Familiarity with data cleaning, validation, and transformation processes.
    • Knowledge with Power BI or other data visualization tools (e.g., Tableau) and/or mapping software (e.g. ArcGIS).
    • Ability to work independently and handle multiple tasks in a time-sensitive environment.
    • Strong communication and presentation skills.
    • Attention to detail and commitment to data accuracy.
    • Willingness to travel within the East African region and work flexible hours as needed.
    • Proficiency in English is required.

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    Kenya Primary Education Evaluation and Assessment Program (KPEEAP)

    Project Background

    The Kenya Primary Education Evaluation and Assessment Program (KPEEAP) is a four-year USAID education project supporting Kenya’s Ministry of Education (MOE) and other relevant semi-autonomous government agencies (SAGAs) through improved collection, integration, and use of education data and technology. The project objectives include: 

    • Assess student learning progress under the Kenya Primary Literacy Program (KPLP), including developing a more cost-effective and sustainable assessment system,
    • Strengthen the GOK’s education data management systems for improved accountability, and
    • Support capacity building, technical assistance and training that advance the goals and objectives of KPLP, KPEEAP, and the MOE.

    Method of Application

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