Data Engineer at

4 weeks ago


Nairobi, Nairobi Area, Kenya Jhpiego Full time

Jhpiego, an affiliate of Johns Hopkins University is implementing The Challenge Initiative (TCI), a project funded by Bill and Melinda Gates Foundation (BMGF) through The Bill & Melinda Gates Institute for Population and Reproductive Health (GI), Department of Population, Family & Reproductive Health at the Johns Hopkins Bloomberg School of Public Health.

Responsibilities

Manage and organize program and research data bases, including cleaning, analysing, and interpreting data
Support development of predictive models to improve program learnings and decision making
Integration of data from multiple sources into cohesive, unified datasets
Develop and implement data management processes and procedures for the project
Management and generation of reports from multiple data sources
Collaborate with other program teams, including local government staff, to identify implementation needs and provide data-driven solutions
Develop centralized program tracking dashboard to inform on program and country progress
Stay current with industry trends and technologies related to data management, health related indicators to ensure best practices are implemented

Construct and support deployment and implementation of data collection and visualization infrastructure/software including ODK based applications, REDCap, DHIS-2, Power BI etc.

Development, maintenance and/or implementation of data visualization systems to assist with dissemination of program results
Routine review and assessment of data collection, data storage and data management systems in line with organizational, ethical and country data protection requirements
Assist in preparation of donor and routine program reports
Support JADE indicator configuration and reporting
Any other duties as assigned

Required Qualifications

Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
5 years of relevant experience in data management, analysis, data warehousing, data workflows etc

Proficiency in programming language:
Python, PHP, Java etc.
Strong knowledge of database and database technologies SQL, NoSQL
Proficiency in any data analysis software Excel/R/Python/Stata/SPSS etc.)
Experience developing, configuring or implementing data collection software e.g. ODK, REDCap etc.
Experience with data visualization and use of tools such as Power BI
Strong analytical and problem-solving skills
Excellent communication and presentation skills
Experience working with health data


The ideal candidate will have a strong understanding of data management and analysis, and will be able to effectively communicate insights and recommendations to the program.

If you have a passion for working with data and are ready to take the next step in your career, and are committed to support Jhpiego's work, we would like to hear from you.



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