Statistician

About the company

We envision A Gender-Equal Ethiopia/Africa/World where women and girls are empowered to thrive, contribute productively, and drive sustainable development. Established with passion and dedication to drive our clients or ventures toward excellence and highest achievement by bridging the gender professionalism gap. Based in Ethiopia, Addis Ababa, brings over 20 years of experience on gender across diverse sectors to provide reliable and effective solutions. We have the necessary tools, real-life case studies and stories, packages, skills, models, network, best practices, lessons, etc, to support you. Contact us; we are here to give you a solution.

About the job

We are seeking a qualified statistician responsible for leading the sampling design and sample size determination, conducting power and precision analyses, establishing robust data management systems, and carrying out high-quality quantitative data analysis to support a new project application

Minimum qualifications and experience:

• Master’s degree in Statistics, Biostatistics, Economics, or a related quantitative field
• Demonstrated expertise in sampling design, statistical power analysis, and comparative analysis, evidenced by:
• At least five (5) years of professional experience applying sampling design and quantitative analysis in household surveys, outcome monitoring, or evaluation studies; and
• Direct responsibility for sampling design and/or sample size determination (including power calculations) in a minimum of three (3) completed assignments; and
• Practical experience conducting comparative analysis (e.g., participant vs. non-participant, treatment vs. comparison groups, before-and-after analysis), demonstrated through previous assignments; and
• Proficiency demonstrated through CVs and supporting documentation, such as methodology sections of reports, technical proposals, or client references.
• Proficiency in statistical software such as SPSS, STATA, or equivalent

Demonstrated ability to apply advanced statistical techniques to ensure rigor, reliability, and validity of findings.