Provide quantitative and qualitative data analysis of DHS Dataset in East Africa

Support data analysis for IOM's health programs

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IOM Kenya

Open positions at IOM Kenya / Open positions at IOM

Home-based;

Volunteering Information Management

Application deadline 5 years ago: Wednesday 19 May 2021 at 15:00 UTC

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Overview

Support data analysis for IOM's health programs

You have:

Degree in statistics, biostatistics or related field
Experience in complex data collection, analysis, statistics in health sector
Previous experience with IOM
Proven experience on DHS data analyses
Excellent analytical and strategical thinking skills
Use of quantitative software such as STATA, R, SPSS and/or similar
Use of qualitative software: MAXQDA, NVIVO and Atlas STI and Mobile phone data collection systems: ODK and dooblo
Solid traditional computer skills

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Details

We are looking for one online volunteer to support the IOM Kenya Migration Health team with carrying out quantitative and qualitative data analysis of available DSH indicators related to human mobility. All communication and collaboration between the online volunteer and other team members will take place through e-mail and Skype calls. The online volunteer shall regularly send status updates about the work to the supervisor. Moreover, the volunteer may occasionally be requested to participate in team meetings over Skype. The selected online volunteer will have the opportunity to engage with a wide range of research tasks to support monitoring and impact evaluations.

Research
Statistics

IOM is working on DHS dataset to start generating information on the movement of people in the region to inform public health programming and policy. During COVID, information on movement is of critical importance to forecast epidemic spread internally and across borders. IOM intends to use the DSH data to identify proxy factors for health vulnerability among people on the move to better inform preparedness and response plans during outbreaks and strengthen policy toward migration-sensitive health system.
Volunteers: 1 needed
6-10 hours per week / 6 weeks
1. Degree in statistics, biostatistics or related field 2. Experience in complex data collection, analysis, statistics in health sector 3. Previous experience with IOM 4. Proven experience on DHS data analyses 5. Excellent analytical and strategical thinking skills 6. Use of quantitative software such as STATA, R, SPSS and/or similar; Qualitative software: MAXQDA, NVIVO and Atlas STI and Mobile phone data collection systems: ODK and dooblo. 7. Solid traditional computer skills
Africa
English

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Potential interview questions

Can you describe a time when you had to analyze complex data?	The interviewer wants to assess your analytical skills and experience.	Provide an example highlighting your approach to data analysis and the outcome.
What tools and software do you use for data analysis?	This question evaluates your technical proficiency with relevant software.	Pro members can see the explanation.
How do you ensure data accuracy during analysis?	Pro members can see the explanation.	Pro members can see the explanation.
Discuss an instance where you had to communicate data findings to a non-technical audience.	Pro members can see the explanation.	Pro members can see the explanation.
What challenges have you faced in quantitative research and how did you overcome them?	Pro members can see the explanation.	Pro members can see the explanation.