Data Analyst Intern

As a Data Analyst Intern at Pula, you will play a crucial role in supporting the Analytics & Insights team 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.

Key Responsibilities

• 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.
• 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.
• Evaluate the effectiveness of newly implemented processes.
• Document findings, prepare reports, and make recommendations based on analysis.

 Who you are

• Complete Bachelor’s degree in Statistics, Economics, Agricultural Economics, Agribusiness Management, GeoInformatics or Information Systems is required.
• Minimum of 1 year of experience in a fast-paced data environment is an added advantage. 
• 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.
• 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.