Intern Data Analyst

Palladium is a global company working to design, develop, and deliver a positive impact on the lives and livelihoods of people around the globe; broaden access to health, water, power, and infrastructure; build enduring, sustainable, and transformative institutions and market systems to address global challenges; and conserve the natural world.

The Intern Data Analyst will work with the data analysis team to provide overall subject matter in the field of HIV and TB prevention and treatment and support to foster data use at all levels. The holder of this position will apply sound epidemiological principles to support HIV/TB data analysis and implement national and subnational data-driven activities for program improvement.

1. Implement sustainable strategies to improve quantity (improved reporting rates) and quality of available data in the DWH.
2. Support data cleaning, mapping (including accurate mapping of facilities and partners), data quality assessments, and feedback to internal and external stakeholders.
3. Support evaluations and studies using the DWH as a data source including preparation of ad hoc data sets and capacity building them to access the data on their own.
4. Support the development of capacity development materials for the DWH.
5. Develop and maintain dashboards including data modeling for visualization.
6. Work with SECCAH to support end-user training and support.
7. Work closely with other Data Analysis and use team members to develop and disseminate information products.
8. Support DWH in the development and maintenance of DWH-related documentation and data dictionaries.
9. Advise the DWH team and Data Analysis & Use team members on the required enhancements to DWAPI to meet stakeholder needs.

1. University education in computing, statistics, or science would be highly regarded.
2. Some experience in the same or similar position
3. Programming Languages (R/STATA/Python)
4. Proficient and working knowledge in one or more of these programming languages (R, Python, or STATA) for data gathering, data cleaning, statistical analysis, and data visualization.
5. Creative and Analytical Thinking
6. Excellent problem-solving skills including the ability to analyze and resolve complex problems.
7. Excellent communication and comprehension skills: confident communicating with people of differing levels of seniority, analytical understanding, and from a wide variety of backgrounds
8. Experience with data visualization tools such as Tableau and Power BI
9. Strong SQL (especially Teradata) can extract data from large databases using SQL to develop data queries.
10. Advanced Microsoft Excel
11. Efficient with spreadsheet tools such as Microsoft Excel or Google Sheets.
12. Fluent in English both spoken and written.