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  • Posted: Oct 17, 2018
    Deadline: Oct 21, 2018
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    M-Shule is an education management and collaboration platform that uses innovative learning strategies and mobile technology to connect and engage the parents, schools, and communities educating learners in lower income areas. We envision a world where every child, no matter their background, may achieve success thanks to their learning community’s par...
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    Data Analyst

    Job Description

    About the role

    You will be a major part of a small and agile team driving the first-ever application of artificial intelligence in primary schools in East Africa.

    We have already built and are implementing our product in low-cost primary schools across Nairobi, Kenya. We now invite you to tackle projects like designing and implementing customer insights programs, using quantitative and qualitative data to understand learning performance growth, and helping the team test and iterate on assumptions to improve our business. If you enjoy creating actionable insights from data that leads to huge impacts, then our team is a great fit for you.

    Job Description:

    • Collecting, analyzing, and interpreting quantitative and qualitative data from a variety of sources to allow team to make decisions around user experience, product, performance, and strategy.
    • Designing experiments and projects to test impact assumptions, measure KPIs, and make recommendations based on your findings.
    • Developing and monitoring new and better systems for high-quality data collection, measurement, and management.
    • Creating compelling stories about our impact based on analyses to share with customers, team members, partners, and other stakeholders.

    Required Profile:

    A desire to impact education, independent project management skills, and exceptional problem-solving abilities are all essential prerequisites on the M-Shule team.

    For this role, we’re also looking for someone with the following:

    • Bachelor’s degree in quantitative field such as Economics, Maths, Statistics, Business, Finance, or Computer Science; other degrees acceptable if there was strong coursework in the above areas.
    • Master of some of Microsoft Excel, SQL/Linqpad (or other query language), R, and/or Stata.
    • Experience in working across quantitative and qualitative data to extract actionable insights and communicate recommendations to improve performance.
    • Flexibility and willingness to jump in and lead projects in a hands-on, fast-paced startup environment.

    Method of Application

    Application deadline is 21st October 2018 by 5pm EAT.

    Please submit your CV and cover letter by filling out the Application Form.

    Any applications received via any other channel(s) will be ignored.

    This position is open to applicants with the legal right to work in Kenya only.

    Applicants not based in Nairobi are welcome to apply; unfortunately M-Shule does not cover relocation costs.

    Interested and qualified? Go to M-Shule on airtable.com to apply

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