Background

DanChurchAid's aim is to strengthen the world’s poorest people in their struggle for a life in dignity. Our work is based on a Christian view of humanity with respect for every individual’s rights and equal worth. DanChurchAid is rooted in the Danish National Evangelical Lutheran Church, but is active wherever we find the need is highest, regardless of...

Responsibilities

Data Analysis & MEAL

• Assist with data collection, cleaning, and quality control
• Work with DCA and partner staff members developing M&E systems and baseline assessments.
• Assist with research and revision of data collection tools
• Support review and development of data tracking tools and impact analyses
• Assist in analysing data to provide an evidence base for the measurement of results and to demonstrate results more clearly.
• Support review of and feedback on DCA program/project and partner reports

Data Quality, Use and Sharing

• Support the development of MEAL plans and M&E tools for existing and new projects
• Assist in compiling data to contribute towards strategic decision-making, knowledge management, sharing best practices and program planning with program team.
• Support data-driven storytelling and communication efforts
• Support planning, implementation and follow up of periodic monitoring visits to track progress, identify problems, support partners and project staff, and extract lessons and to provide feedback
• Provide data/evidence-based support and input to DCA and partner strategy and reflection/learning events.
• Support relevant project staff in updating the DCA program and projects document (PPD) electronic filing system.
• Any other duty as assigned by supervising manager.

Qualifications

• A university degree from an accredited educational institution in Data science, Data Analytics, Computer Science or a related field.
• High degree of familiarity with digital data gathering software packages (Activity info, Kobo ToolBox, or similar), data visualization tools (Microsoft PowerBI, or similar), and data analysis software (Stata, SPSS, R, or similar).
• Ability to translate data into actionable insights, and support others to do the same
• Interest in learning
• Ability to travel
• Politically and culturally sensitive with qualities of patience, tact and diplomacy
• Fluency in at least English and Kiswahili

• Assist with data collection, cleaning, and quality control
• Work with DCA and partner staff members developing M&E systems and baseline assessments.
• Assist with research and revision of data collection tools
• Support review and development of data tracking tools and impact analyses
• Assist in analysing data to provide an evidence base for the measurement of results and to demonstrate results more clearly.
• Support review of and feedback on DCA program/project and partner reports
• Support the development of MEAL plans and M&E tools for existing and new projects
• Assist in compiling data to contribute towards strategic decision-making, knowledge management, sharing best practices and program planning with program team.
• Support data-driven storytelling and communication efforts
• Support planning, implementation and follow up of periodic monitoring visits to track progress, identify problems, support partners and project staff, and extract lessons and to provide feedback
• Provide data/evidence-based support and input to DCA and partner strategy and reflection/learning events.
• Support relevant project staff in updating the DCA program and projects document (PPD) electronic filing system.
• Any other duty as assigned by supervising manager.

• Familiarity with digital data gathering software packages (Activity info, Kobo ToolBox, or similar)
• Familiarity with data visualization tools (Microsoft PowerBI, or similar)
• Familiarity with data analysis software (Stata, SPSS, R, or similar)
• Ability to translate data into actionable insights
• Interest in learning
• Ability to travel
• Politically and culturally sensitive
• Patience, tact and diplomacy
• Fluency in English and Kiswahili

• A university degree from an accredited educational institution in Data science, Data Analytics, Computer Science or a related field.