Digital Delivery and Data Analysis at Syngenta AG

Job Description

Accountabilities

Under the supervision of the Country Director the Digital delivery and data analysis (Intern) will support the coordination and execution of the projects Nigeria. He/she will also support the role of monitoring and evaluation for all activities in Nigeria according the Performance Measurement System (PMS) mainly to :

• Support the Head of Agri-Services, Seeds2b and Insurance streams
• Support to develop technical tools including logical frameworks and results chains of the various projects for performance measurement.
• Manage the databases and ensure timely recovery of field data;
• Support to design and conduct studies and surveys as needed;
• Support to prepare project reports and necessary communication materials.
• Participate in field missions and meetings scheduled during the period of realization of his mission;
• Support in the monitoring of Implementation of the activities listed in the project timeline
• Evaluation of the KPIs for each project
• Support to reassess the constraints encountered in implementing and monitoring the activities of the activities of SFN.
• Engagement with Farmers’ Hub manager at Hub in managing the Hub’s day-to-day activities
• Farmers mobilization for meetings/trainings/Demos/field days etc.
• Perform other related duties as required by and instructed by the SFSA supervisors

Qualifications

Critical knowledge

•  Master degree in Economic, Agro-economic, or Statistical or –Economic
• One to Two years’ experience in the field of Management of Project
•  Two (2) years’ experience in the field of monitoring and evaluation of agricultural projects in West Africa.

Critical experience

• Excellent knowledge of quantitative analysis tools (computer and statistical) is essential,
• Good capacity for analysis,
• Very good oral communication and writing technical reports

Critical technical, professional and personal capabilities

• Good experience in management of Project
• Good experience in data analysis.
• Capacity to conduce base line study and survey in agriculture.
• Good skills in statistical software (SPSS, STATA, SAS, R, eg.)
• Have good writing, editing, and written and oral communication skills.