Data Analyst – Strathmore University Agri-Food Innovation Centre (SAFIC) at Strathmore University

PROGRAM DESCRIPTION:

SAFIC is an African-led Centre of excellence at the SBS seeking to empower, enable and scale agri-food innovations, and enhance the competitiveness of food systems across the continent. SAFIC is driven by a clear mission to enhance the competitiveness of the agriculture and agrifood industry in addition to facilitating and supporting innovations within strategic areas of the sector.

JOB PURPOSE:

The Data Analyst will mine, collate, collect and analyze qualitative and quantitative data and turn it into useful information and insights for agriculture sector practitioners.

MAIN DUTIES AND RESPONSIBILITIES:

• Data Organization: Collating, mining, and organizing historical and new data from primary and secondary sources into a format usable for high-density data analysis and visualization.
• Data Collection: Developing and implementing data collection systems and other strategies that optimize statistical efficiency and data quality.
• Data Integrity and Storage: Filtering and cleaning data to ensure accuracy and reliability as well as maintaining databases and data systems.
• Advanced Statistical Analysis: Identifying, analyzing, and interpreting trends or patterns in complex data sets including the Centres’ publicity and social media data.
• Data Visualization and Reporting: Interpreting data, analyzing results using statistical techniques, and providing ongoing reports, inferences, and observations to the SAFIC team.
• Collaborate with other teams: Learn from and support colleagues and Communities of Practise members in advancing the use of data in decision making. 

JOB REQUIREMENTS
The post holder will be required to have and to demonstrate evidence of the following qualifications, attributes, and skills:

• An accredited degree in Statistics, Mathematics, Economics, Computer Science or Information Management.
• Have a minimum of 3 years of proven working experience as a data analyst.

DESIRABLE SKILLS:

• Be comfortable with numbers and can analyze, interpret, and draw inferences from complex data sets. Experience in research, data collection and analysis of agricultural productivity data will be highly advantageous.
• Excellent quantitative skills including a good understanding of statistical analysis (e.g. hypothesis testing, experimentation, regressions).
• Demonstrated skills in the deployment and utilization of data collection tools.
• Proficiency in one or more visualization tools (e.g. PowerBI, Looker, Tableau)
• Proficiency in the use of R, STATA or Python is an added advantage.
• An understanding of techniques, processes, and languages (TSQL or PL/SQL) for accessing data from structured environments.
• Ability to work independently, under minimal supervision, and on tight deadlines.
• Ability to work collaboratively with team members across functional roles and strong communication and leadership skills.
• Strong organizational, problem-solving, and analytical skills