Information TechnologyFull-TimeJunior-level(1-2 yrs)
Job Description
At Pula, we are radically restructuring agricultural insurance, using technology to insure the previously unbanked, uninsured, untapped market of 1.5 billion smallholders worldwide. We work in eight countries across Africa and Asia, and in 2017 alone, we facilitated crop and livestock insurance cover to 611,000 farmers in Kenya, Rwanda, Uganda, Nigeria, Ethiopia and Malawi. We are looking for a highly motivated and data-driven Data Analyst to play a crucial role in supporting the Associate Manager by ensuring data management and analysis, problem identification, resolution, and the implementation of department strategies.
Responsibilities
Conduct survey configuration and field agents allocations on the inhouse data collection tool.
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.
Requirements and Qualifications
Bachelor’s degree in Statistics, Economics, Agricultural Economics, Agribusiness Management, or Information Systems.
Minimum of 2 years of experience in a fast-paced NGO environment.
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, Kobo, Survey CTO 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.
