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.