NewGlobe is growing and developing fast. The organization has been on a journey from proof-of-concept community school programs, to participating in national multi-partner public-private partnerships, acting as technical service delivery partners to statewide programs at scale, and ultimately supporting national government transformation programs.

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