Data Analyst Intern at
2 weeks ago
At Pula, we are radically restructuring agricultural insurance, using technology to insure the previously unbanked, uninsured, untapped market of 1.5 billion smallholders worldwide.
Position Overview:
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 be doing:
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.
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.
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