- Minimum Bachelor's degree in economics, statistics, or any other relevant field
- Minimum of 2 or 3 years of experience in quantitative research methods and data management, preferably with large and/or complex datasets
- At least 1-year full time experience conducting data cleaning using Stata, R, Python or MatLab for large datasets (mandatory)
- Experience in working with and programming data entry interfaces using a variety of applications both purchased and open source. Knowledge of SurveyCTO, CSPro, ODK, KoBo and Access will be an added advantage (SurveyCTO and/or ODK highly preferred)
- Well conversant with the use of MS Office applications especially Excel
- Ability to work under pressure in a working environment that changes suddenly to accommodate new data needs
- Strong interpersonal and communications skills to work effectively with a team that is geographically dispersed
- Self-directed/self-motivating personality, with proven ability to manage demands from multiple supervisors while adhering to program deadlines and priorities
- Strong critical and analytical thinking skills
- High attention to details and well organized
- Should have real passion of working with data, be able to think and tell a story from the data (Key desirable)
- Intellectual flexibility and willingness to form and adjust opinions based on evidence
- Quick to learn, motivated to self-teach and capable of independently translating new knowledge into practice
How to Apply
Interested candidates should apply directly through the Evidence Action careers portal using the link below: https://apply.workable.com/evidence-action/j/20925FA853/
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