Senior RMLE Manager

Role & responsibilities

• Understand and perform basic and advanced analysis using all available data sources for knowledge generation that will guide the program implementation.
• Database management.
• Conducting different types of random sampling from line lists.
• Quantitative and Qualitative data analysis from cleaning to preparation of result tables.
• Data Cleaning: Managing loss of information, data mapping, removing duplicate entries, coding of open-ended responses, merging of data sets etc.
• Preparing data analysis plan / tabulation plan.
• Analysis of data to produce frequencies of different indicators, descriptive, cross-tabulation, simple correlations etc. using SAS/SPSS/STATA/excel as per program requirement.
• Writing syntaxes for concurrent data analysis.
• Qualitative data management and analysis.
• Collating and analysing secondary data from required sources.
• Prepare appropriate dissemination including scientific manuscripts documents for sharing with internal and external stakeholders.
• Capacity building of program team and Government counterparts on understanding of data and data driven management.
• To perform other ad-hoc tasks as per the need of different stakeholders such as the Government and the donor.
• Travel within or beyond the program areas for 10-30% of the time.

Preferred candidate profile

Essential:

• Graduate/Post Graduate/ Masters in Public Health/Management/Data Science/Social Sciences/Rural Development/Biostatistics/Statistics Development Studies/Educations or any equivalent subject.
• Preferred:
• Familiarity with data analysis software.
• Experience with field research.
• Experience of scientific writing.

Research & Analytical skills:

• Demonstrated ability to organize, interpret and analyze varieties of data.
• Demonstrated ability to read and interpret published research literature.
• Demonstrated ability to objectively analyze data and describe patterns.
• Demonstrated capacity of developing knowledge products.
• Demonstrated numerical data visualization skills.
• Ability to design data collection tools and gather primary data using quantitative and qualitative techniques.

Team/people Management & Collaboration skills:

Team player, multitasker, skills to convey technical information into intuitive narratives, ability to mentor team members.