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    Data Fellow at - Nairobi, Kenya - Open Institute

    Open Institute
    Open Institute Nairobi, Kenya

    1 day ago

    Default job background
    Full time
    Description

    Open Institute are a non-profit organization based in Nairobi, Kenya that collaborates with Governments, Civil Society Organizations, Citizen Groups and Private Sector companies to find innovative ways to achieve Sustainable Development.

    Summary


    The OI Data Fellow will directly report to the Programmes Director and spearhead transformative subnational data analysis and research efforts.

    This role is designed for a candidate with a proven history of delving into large datasets, employing advanced statistical methods, and distilling actionable insights that supercharge our data desk's functionality and decisively inform our county monitoring and strategic decision-making.

    It's an opportunity to lead with data, crafting narratives that drive change and demonstrate the tangible impact of meticulous analysis and evaluation on our communities.

    In this position, you will not only showcase your technical prowess but also apply your analytical acumen to solve complex problems, communicate intricate data findings in accessible formats, and collaborate with cross-functional teams to pioneer innovative research methodologies.

    This role promises a dynamic career trajectory filled with opportunities for continuous learning, professional growth, and the chance to contribute to the organisation's reputation as a leader in leveraging data for social good.

    For the data-savvy individual passionate about making a difference, the OI Data Fellow offers an unparalleled opportunity to be at the heart of data-driven transformation within a vibrant and supportive community.

    Responsibilities

    Conduct deep analysis of extensive datasets utilising advanced statistical techniques and software tools to uncover actionable insights.
    Clean, preprocess, and manipulate datasets to guarantee data quality and consistency across all research and analysis endeavours.
    Develop and implement sophisticated data models and algorithms to extract meaningful insights and patterns, contributing to informed decision-making.

    Perform data visualisation and interpretation, utilising state-of-the-art tools to effectively communicate findings to both internal and external stakeholders, ensuring clarity and actionable intelligence.

    Collaborate with interdisciplinary teams to design comprehensive research studies, develop robust data collection methodologies, and formulate precise research questions that align with organisational goals.

    Assist in the design and execution of data-driven monitoring and evaluation frameworks to assess the impact and effectiveness of projects and programmes, facilitating continuous improvement.

    Remain up-to-date with the latest trends, methodologies, and best practices in statistical analysis and data science to ensure cutting-edge approaches in all research activities.

    Contribute significantly to the documentation of research findings, methodologies, and data analysis processes, ensuring transparency and reproducibility of research.

    Provide training and capacity-building support to staff and partners on statistical analysis techniques and tools, enhancing organisational competency in data science.

    Engage in continuously reviewing and enhancing the organisation's data management and analysis processes, identifying opportunities for improvement and innovation.

    Participate actively in professional forums, workshops, and conferences related to data science and statistical analysis, representing the organisation and fostering partnerships with other entities.

    Any additional duties as allocated, demonstrating flexibility and a readiness to contribute to the organisation's evolving data analysis needs.

    Competencies

    Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Master's degree preferred.
    Proven experience in statistical analysis, data modelling, and quantitative research.
    Proficiency in R, Python, or SPSS statistical software packages.
    Experience with data visualisation tools (e.g., Tableau, Power BI) is a plus.
    Strong analytical and problem-solving skills with the ability to work with complex datasets and derive actionable insights.
    Excellent communication skills with the ability to convey technical concepts to non-technical audiences.
    Ability to work effectively independently and as part of a team in a fast-paced environment.
    Commitment to Open Institute's mission and transparency, accountability, and social impact values.
    Strong analytical and multitasking skills, with the ability to meet deadlines in a fast-paced environment
    Self-starter with a positive attitude and ability to think creatively and outside the box
    Proficient in MS Office suite
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