International Potato Data Cleaning – Consultant Jobs in Kenya

International Potato Data Cleaning – Consultant Jobs in Kenya

The International Potato Center, known by its Spanish acronym CIP, was founded in 1971 as a root and tuber research-for-development institution delivering sustainable solutions to the pressing world problems of hunger, poverty, and the degradation of natural resources. CIP is truly a global center, with headquarters in Lima, Peru and offices in 30 developing countries across Asia, Africa, and Latin America. Working closely with our partners, CIP seeks to achieve food security, increased well-being, and gender equity for poor people in the developing world. CIP furthers its mission through rigorous research, innovation in science and technology, and capacity strengthening regarding root and tuber farming and food systems.

CIP is part of the CGIAR Consortium, a global partnership that unites organizations engaged in research for a food secure future. CGIAR research is dedicated to reducing rural poverty, increasing food security, improving human health and nutrition, and ensuring more sustainable management of natural resources. Donors include individual countries, major foundations, and international entities.

Job Type: Full Time
Qualification: BA/BSc/HND
Experience: 6 years
Location: Nairobi
Job Field: Research / Data Analysis

Ref.: 2019/017/NRS/KE/SSA

The International Potato Center (CIP) is seeking to recruit a dynamic and experienced Data Cleaning consultant.

The Position: The Data Cleaning – Consultant will provide support to the gender team to clean

quantitative data that was collected under the ENDURE project. There are two data sets: the first is a combined data set for potato and banana and the second is a combined data set for Cassava and sweetpotato. This data needs to be cleaned so that it can be analyzed in preparation for sharing as open access data.

Key Responsibilities

Review data files and basic data cleaning to ensure all observations are uniquely identified and reported data is internally consistent (2 data files-

Banana/Potato & Sweetpotato Cassava);

Identify the what values are different between the two data files to ensure merging of the two data sets;

Conduct merging across data files to ensure clean merges.

Selection Criteria

At least a master’s degree in Agricultural Economics, Economics, Statistics or related field;

At least 6 years of experience required in data cleaning and analysis;

Advanced knowledge of database work;

Advanced level of MS Office;

Advanced statistical research analysis;

Advanced written and oral communication skills in English.

Why should you consider this opportunity?

CIP is a global and reputable international organization that has a strong, state-of-the- art R&D background, and is a recent World Food Price Winner and awarded with the Al-Sumait Award for our Orange Flesh Sweet Potato work in Africa.
CIP is dedicated to achieving food security, improved nutrition and well-being, and gender equality for poor people in root and tuber farming and food systems of the developing world.

CIP is a member of the CGIAR Consortium, a network of 15 research centers that are mostly located in the developing world and supported by more than 50 donor members.

What are the conditions?

The position is Nationally Recruited Staff (NRS) position limited to Kenya nationals and permanent residents only. The employment contract will be for a Fifteen days term.

Application deadline: 26th November 2019