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Data Analyst Intern

Closing: Jun 17, 2024

This position has expired

Published: Jun 6, 2024 (15 days ago)

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Job Summary

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  • As a Data Analyst Intern at Pula, you will play a crucial role in supporting the Data & Insights department by ensuring data management and analysis, problem identification, resolution, and the implementation of department strategies. We are looking for a highly motivated and data-driven individual with strong documentation and project management skills, capable of seamlessly transitioning between strategic planning and hands-on execution.

What you will need to be successful 

  • Bachelor’s degree in Statistics, Economics, Agricultural Economics, Agribusiness Management, or Information Systems.
  • Proficiency in specialized statistical analysis software and data visualization tools like Power BI or similar platforms.
  • Proficiency in Python and R is a must. Knowledge of SQL is also preferred
  • Ability to communicate complex information effectively through clear writing and excellent verbal communication skills.
  • Familiarity with mobile data collection technologies, such as Commcare, and experience with new applications and innovations.
  • Capable of transforming technical data into presentations for diverse audiences.
  • Skilled in collaborating with diverse groups, partners, and colleagues, demonstrating a strong team spirit.
  • Self-driven, able to work independently with minimal supervision.
  • Efficiently handle multiple tasks, prioritize work, and meet deadlines effectively.


Responsibilities
  • As a Data Analyst Intern at Pula, you will play a crucial role in supporting the Data & Insights department by ensuring data management and analysis, problem identification, resolution, and the implementation of department strategies. We are looking for a highly motivated and data-driven individual with strong documentation and project management skills, capable of seamlessly transitioning between strategic planning and hands-on execution.

What you will need to be successful 

  • Bachelor’s degree in Statistics, Economics, Agricultural Economics, Agribusiness Management, or Information Systems.
  • Proficiency in specialized statistical analysis software and data visualization tools like Power BI or similar platforms.
  • Proficiency in Python and R is a must. Knowledge of SQL is also preferred
  • Ability to communicate complex information effectively through clear writing and excellent verbal communication skills.
  • Familiarity with mobile data collection technologies, such as Commcare, and experience with new applications and innovations.
  • Capable of transforming technical data into presentations for diverse audiences.
  • Skilled in collaborating with diverse groups, partners, and colleagues, demonstrating a strong team spirit.
  • Self-driven, able to work independently with minimal supervision.
  • Efficiently handle multiple tasks, prioritize work, and meet deadlines effectively.


  • Conduct data quality checks following standard operating procedures (SOPs).
  • Provide support to the support desk and field staff when required, ensuring effective communication.
  • Utilize data analytics and project knowledge to identify risks and issues within projects.
  • Keep the manager informed by providing regular daily, weekly, and ad-hoc updates.
  • Propose potential solutions to address problems encountered in the field.
  • Draft training materials, protocols, and other necessary documents as needed.
  • Assist in survey creation and participate in sampling or other CCE/Survey work as required.
  • Utilize designated tools and software proficiently as per project requirements.
  • Demonstrate honesty and transparency in all aspects of work.
  • Emphasize direct and open communication to address problems and provide feedback constructively.
  • Determine appropriate methods for data quality checks, data analysis, and operations assessment.
  • Identify gaps in current data quality check SOPs and suggest improvements.
  • Develop new processes and procedures to enhance project operations.
  • Provide training to field staff on new systems and processes.
  • Evaluate the effectiveness of newly implemented processes.
  • Document findings, prepare reports, and make recommendations based on analysis.


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