Job
Title: Data Analyst / M&E
Officer
Title: Data Analyst / M&E
Officer
Organization: Kyagalanyi
Coffee Limited
Coffee Limited
Duty Station: Kampala,
Uganda
Uganda
About US:
Kyagalanyi Coffee Limited was
founded in 1992 when the coffee industry was liberalised and is the oldest
licensed coffee exporter in Uganda. We remain one of the leading green coffee
exporters in Uganda with export volumes of about 400,000 bags a year. We source
high quality arabica and robusta coffees from all major coffee growing areas in
Uganda and are also working with over 12,000 farmers across the country to
improve the yields and quality of their coffee through our sustainability
initiatives.
founded in 1992 when the coffee industry was liberalised and is the oldest
licensed coffee exporter in Uganda. We remain one of the leading green coffee
exporters in Uganda with export volumes of about 400,000 bags a year. We source
high quality arabica and robusta coffees from all major coffee growing areas in
Uganda and are also working with over 12,000 farmers across the country to
improve the yields and quality of their coffee through our sustainability
initiatives.
Key Duties and Responsibilities:
- Coordinate
professional data collection in our farmer support teams; - Improve
and expand the internal M&E systems, including contribution to the
development of smart-phone M&E apps; - Keenly
analyse data for i) internal and donor reporting; ii) identify areas of
improvement; and iii) measure impact of Kyagalanyi’s farmer support teams; - Prepare
and submit technical reports for management and donors; - Monitor
implementation of project activities and overall progress towards set
targets; and - Mentor
and train farmer support staff to improve quality of data collection.
Qualifications, Skills and Experience:
- The
applicant must hold a Bachelor’s or Masters in Monitoring &
Evaluation; Business Statistics, Agricultural Science; Quantitative
Economics or related subject; - At
least two years of related work experience in M&E team, agri-business
or related field; - Proven
strong skills in Excel (including Vlookup) and statistical packages; - Proven
ability to analyse and interpret large data sets; - Proven
ability to work independently; - Good
understanding of coffee production and agricultural extension is a strong
advantage; - Excellent
interpersonal skills and ability to build positive workin
How to Apply:
All candidates should send
their applications via email to: [email protected] and should include a
covering letter and CV.
their applications via email to: [email protected] and should include a
covering letter and CV.
Deadline: Friday 16th February 2018
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