Jhpiego is an international non-profit health organization affiliated with Johns Hopkins University. The group was founded in 1973 and initially called the Johns Hopkins Program for International Education in Gynaecology and Obstetrics, but is now referred to simply as Jhpiego.

About CDC GHSA Project:

Through funding from the Centers for Disease Control and Prevention (CDC), Jhpiego is implementing the project, ‘Enhancing Global Health Security: Expanding Efforts and Strategies to Protect and Improve Public Health Globally’. This award builds on ongoing CDC funded investments to support the Global Health Security Agenda (GHSA) through implementation of programs focused on protecting and improving health globally. Through this grant, Jhpiego will support Uganda to strengthen surveillance data management by creating a centralized data warehousing, conducting analysis and visualization at designated national and sub-national levels, developing policies, procedures and relevant MoUs for surveillance systems integration, and implementing targeted capacity building to data end-users on how to think about data.

Job Summary: The Data Analyst will be responsible for analyzing and interpreting data to provide insights and recommendations to stakeholders. The Data Analyst will conduct routine Explanatory Data Analysis with descriptive statistics of underlying datasets to highlight key trends in applicable data. He/she will be responsible for routinely examining data to identify outliers and use statical methods to provide potential explanations. He/she will explore potential applications of advanced analytics including forecasting, predictive analytics, and AI/ML approaches.

This is a contract position and is renewable annually based on availability of funding and scope of work.

Key Duties and Responsibilities:

Work closely with business analysts and other stakeholders to define data requirements.
Lead the development and design of interactive and static reports using Jasper Reports
Analyze routine monitoring and assessment data to identify trends in key indicators.
Routinely perform exploratory data analysis, descriptive statistics, and outlier analysis to identify general trends and data quality concerns.
Explore the use of advanced analytic approaches in Python, R, or a similar programming language.
Generate information and insights from data sets and identify trends and patterns, preparing reports.
Analyze large data sets using statistical analysis and data mining techniques to identify patterns and trends.
Develop data-driven insights and recommendations to improve project operations and drive growth.
Create and maintain data dashboards and reports to communicate findings to key stakeholders.
Collaborate with cross-functional teams to identify opportunities for data-driven improvements.
Perform ad-hoc analysis as needed to support project initiatives.
Ensure data accuracy and integrity by monitoring data quality and identifying data anomalies or errors.
Stay up to date with emerging trends and technologies in data analysis and visualization.

Qualifications, Skills and Experience:

The applicant must hold a Bachelor’s degree in mathematics, Statistics computer science, or a related field
Masters’ degree in Biostatistics, Bioinformatics & Mathematics is an added advantage
At least two years of experience in data analysis or a related field
Proficiency in SQL, Excel, and statistical analysis tools such as R or Python
Proficiency in dashboard development and data visualization tools such as Tableau and Power BI.
Relevant certificates in statistical programming software
Knowledge of technically sound approaches to statistical analysis
Experience in building data cleaning, processing, and analysis pipelines
Experience in supporting diverse teams of non-technical people in use of data systems.
Experience in working in a Linux environment.
Experience with machine learning or predictive analytics
Familiarity with data warehousing and data architecture principles
Experience working with big data technologies such as Hadoop or Spark
Excellent communication and presentation skills
Strong project management and organizational skills
Excellent problem-solving and analytical skills
Experience with JasperReports strongly preferred.