Data & Research Intern - FieldWorkz
The Khana Group
Software & Data
Job Summary
The Khana Group developed FieldWorkz, an on-demand survey platform that crowdsources critical data through a network of trained and experienced data collectors and is seeking an intern who is enthusiastic about ICT and has some experience with technologies such as AI, Data Analytics & Visualization, Machine Learning, and IOT.
- Minimum Qualification : Degree
- Experience Level : Internship & Graduate
- Experience Length : 1 year
Job Description/Requirements
Responsibilities:
- Support the management and operationalization of surveys and research in the field.
- Support the design and develop compelling data visualization (maps, charts, and graphs) and dashboards using data sets from various sources.
- Support the collection and analysis of data with rigor and integrity and curate insights that are concise and appropriately accessible to other audiences.
- Support quantitative data analysis and visualization.
- Collaborate with global research teams during quantitative project execution to ensure the quality of results and communication delivered to clients.
- Collaborate with other team members and stakeholders, in-person and/or remotely.
- Maintain the highest level of data security and client confidentiality.
Requirements:
- Bachelor’s degree in computer science, statistical studies, demography, and any other field-related data management and at least 3 years of experience in the field of database management and 3 years of experience working in the field of monitoring and evaluation and research
- Experience with tools such as ODK, SurveyCTO, SurveyToGo, Survey Solutions, etc.
- Demonstrated expertise in at least one programming language relevant for numerical analysis (Strong preference for Python, R, SPSS, Stata, etc.).
- ICT skills: MS Excel, Access, SQL, and Android tablets or phones
- Good mapping and cartography skills
- Experience in quantitative and/or qualitative data collection methodologies, and relating software packages
- Some proficiency with data visualization tools (Tableau, Python, R, etc.)
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