Assistant Manager Evaluation & Research

Assistant Manager Evaluation & Research

  July 30, 2020   

Assistant Manager Evaluation & Research

    Published
    July 30, 2020
    Location
    TCF Head Office – Karachi
    Category
    Job Type
    Departments
    Programme Evaluation and Research
    Age
    23+
    Expected Travel
    Frequent

    Description

    The Assistant Manager Evaluation & Research will work under Manager PER to perform a variety of tasks including designing research evaluation, coordinating during evaluation process, piloting different research instruments, conducting qualitative research, refining study design and surveying instruments, managing survey implementation, cleaning and analyzing data, assisting in the writing of project reports and policy memos, and coordinating with local area management running the programs being evaluated. An ideal candidate should not only have a solid technical foundation in impact evaluation methodology but also required to lead the process to implement the impact evaluation approach by guiding and leading activities for randomized and non-randomized evaluation. The individual is expected to lead and drive the research output of the highest quality, to resolve problems by using clear, strategic, and creative thinking.

    • Familiarity with the concepts surrounding the theory of change and core tools of Monitoring & Evaluation (both quantitative and qualitative research methods). Hands-on experience of leading impact evaluation and familiarity with the challenges surrounding causal attribution
    • Demonstrate working knowledge of STATA, R, Python and willingness and ability to learn more at a fast pace
    • Conduct research (both qualitative and quantitative) and design evaluations to measure the effectiveness of various initiatives/projects being undertaken in the Programme Evaluation & Research (PER) department or at TCF
    • Learning aptitude is critical as the job might require significant levels of learning new tools for evaluation.
    • Cultural sensitivity and demonstrated ability to work successfully with diverse constituencies
    • Ability to present information in an insightful and structured manner, both written and oral
    • Ability to manage fieldwork related to the project in both urban and peri-urban areas, including field visits. Ability to work independently, problem-solve, and enlist support when needed
    • Support concerned departments to draft theory of change (ToC) for project activities, by reviewing program documents and relevant literature.
    • Have a research mindset to be able to research on the latest tools available for evaluation of different projects, and be able to communicate those results within the department whenever needed

     

    Required Skills

    • Self-motivating, team player, entrepreneurial mindset, versatility, and strong multi-tasking skills. Comfort in managing multiple tasks effectively requiring collaboration across departments and teams with minimal supervision
    • Provide technical advice to concerned departments on evaluation methods, the design of indicators, data collection methods, and data management. Finally, design cost-effective approaches to rigorously test these assumptions
    • Write evaluation reports (technical) and policy briefs (non-technical) for research and keep senior management updated on the learnings
    • Lead data cleaning and preliminary analysis and ensuring ready access to data for analysis

    Education

    Bachelor’s degree in Economics, Public Policy, Computer Science or any other relevant discipline

    Experience

    1-2 years of work experience in Economics, Public Policy, Computer Science or another relevant discipline at the time of application. Strong quantitative background along with programming expertise in statistical software like Stata, R, or Python. Excellent verbal and written communications skills to contribute to reports, and impact evaluation studies.

    * Individuals with less experience may apply if they have exceptional data analysis skills and exposure to data analytics using Stata, R, and Python.

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