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Intern, Data Analyst

Palladium InternationalNairobi, Kenya
Full Time
Palladium develops and delivers solutions that create positive impact for communities, businesses, societies and economies. We transform lives and create enduring value by working with governments, corporations and non-profit organisations.

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.

Method of Application

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