What You Will Do
Clean and analyze data sets. These data sets can be used to answer questions from a wide range of topics like academic performance, impact evaluation studies, internal RCTs, among others.
Ensure the creation of proper data pipelines and best data management practices.
Contribute to a culture of data-driven decision-making by collaborating with various team members across territories.
Accommodate requests for quick analyses. Time-sensitive questions will come from the VPs and C-Level Executives, and usually take anywhere from a few hours to a few days. Oftentimes, you will need to direct your staff to use their best judgment in the face of imperfect data.
Other duties as required by the Directors and VP of M&E, and C-level executives.
What You Should Have
High data literacy and a strong background in econometrics and/or statistics. Previous experience in an academic or applied setting, such as being an analyst, research assistant, data manager, or consultant. Experience in data cleaning, analysis, and/or visualization.
A high level of proficiency with Stata or R, and Excel. Any other data analysis software or coding language is a plus. Experience with survey software like Qualtrics, SurveyCTO, or Google Forms is also a plus.
Undergraduate degree (or its equivalent) or Masters degree – in a relevant academic discipline, for example (but not limited to) Economics, Public or Education Policy, or Statistics.
Strong communication skills and the ability to translate complex ideas for non-technical audiences – you will need effective verbal and written communication skills to provide valuable insights and research reports for internal and external stakeholders.
Belief in data-driven decision making.
Flexible and loves to work in a dynamic environment.
Apply via :
job-boards.greenhouse.io
