Intern, Data Analyst at Palladium International

Position Summary: Intern, Data Analyst The Intern will work closely with our existing data analysts to provide valuable support in various data-related tasks. Location: The position is based in Palladium’s KeHMIS office, Nairobi.
Reporting And Supervision

• The data analyst intern will report to the Data Demand and Information Use Lead.

Primary Duties And Responsibilities

• Assisting in the preparation of information products, reports, and presentations.
• Collaborating with team members on specific data projects.
• Learning from and contributing to the professional growth of our existing data analysts.
• Support data analysis during evaluations and studies using data from different sources including the DWH.
• Support data mapping (including accurate mapping of facilities and partners), data quality assessments and feedback to internal and external stakeholders.
• Support the documentation of data management practices for the DWH indicators.
• Support the development of dashboards including visualization.
• Support product management team to disseminate data and program improvement information products.
• Work closely with Data Analyst & Information Use team members to develop and disseminate information products.

Required Qualifications

• University education in computing, statistics, or science would be highly regarded.
• A minimum of 1 years’ experience in the same or similar position
• Programming Languages (R/STATA/Python) - 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.
• Creative and Analytical Thinking - Excellent problem-solving skills including the ability to analyze and resolve complex problems.
• Excellent communication and comprehension skills: confident communicating with people of differing levels of seniority, analytical understanding and from a wide variety of backgrounds.
• Experience with data visualization tools such as Tableau and Power BI
• Strong SQL (especially Teradata) can extract data from large databases using SQL to develop data queries.
• Advanced Microsoft Excel - Efficient with spreadsheet tools such as Microsoft Excel or Google Sheets.
• Fluent in English both spoken and written.