Global Alliance For Improved Nutrition (GAIN)- Request For Proposals From Consultants – Data Analyst To Analyse Monitoring Data From Ethiopia And Nigeria

DEADLINE: 3RD SEPTEMBER, 2021 GLOBAL ALLIANCE FOR IMPROVED NUTRITION (GAIN) REQUEST FOR PROPOSALS CONSULTANT – DATA ANALYST TO ANALYSE MONITORING DATA FROM ETHIOPIA AND NIGERIA

(1) ABOUT GAIN The Global Alliance for Improved Nutrition (GAIN) is a Swiss-based foundation launched at the UN in 2002 to tackle the human suffering caused by malnutrition. Working with both governments and businesses, we aim to transform food systems so that they deliver more nutritious food for all people.

At GAIN, we believe that everyone in the world should have access to nutritious and safe food. We work to understand and deliver specific solutions to the daily challenge of food insecurity faced by poor people. By understanding that there is no “one-size-fits-all” model, we develop alliances and build tailored programmes, using a variety of flexible models and approaches.

We build alliances between governments, local and global businesses, and civil society to deliver sustainable improvements at scale. We are part of a global network of partners working together to create sustainable solutions to malnutrition. Through alliances, we provide technical, financial and policy support to key participants in the food system. We use specific learning, evidence of impact, and results of projects and programmes to shape and influence the actions of others.

Headquartered in Geneva, Switzerland, GAIN has representative offices in Denmark, The Netherlands, the United Kingdom, and the United States. In addition, we have country offices in Bangladesh, Ethiopia, India, Indonesia, Kenya, Mozambique, Nigeria, Pakistan, and Tanzania. Programmes and projects are carried out in a variety of other countries, particularly in Africa and Asia.

(2) BACKGROUND Global Alliance for Improved Nutrition (GAIN) implemented a project with a multi-layered approach to improve dietary quality among children 6-59 months by improving demand and access to safe and nutritious foods eggs and fortified complementary food in Ethiopia. This project was conducted in Shashemene and Arsi Negele towns of Oromia, Aleta Wendo and Dilla towns of SNNP and Indasilase and Aksum towns of Tigray region from October to November 2019 to June 2021. As part the implementation, monitoring data were collected throughout the duration of the project. In addition, in the context of an impact evaluation, the endline data was collected in April/May 2021. These data has not yet been document using Nesstar Publisher.

In the same vein, a similar project, the “Eggs Make Kids’ campaign, was implemented in Kaduna State in Nigeria from October 2019 to June 2021. Using commercial marketing techniques and an understanding of consumer behaviour, the campaign aimed to create demand for eggs for children 6 to 59 months of age. Using mass media and point-of-purchase demand-creation activities, the campaign encouraged parents to feed their children eggs. The project collected monitoring data related to activity reach and egg sales.

The purpose of this RFP is to engage services of a Service Provider to analyse monitoring data from Ethiopia and Nigeria and to conduct the data documentation with Nesstar publisher of the endline dataset for Ethiopia

(3) SCOPE OF WORK AND DELIVERABLES As GAIN wants to learn more about the characteristic that determine the success of the implementation of these two projects, GAIN is seeking a qualified consultant to:

Fully review the rich monitoring data collected in Ethiopia and Nigeria to uncover important research questions that can improve our understanding of factors influencing implementation of these two projects Once the proposed research questions are approved by GAIN, the consultant will propose methodological approaches for answering these questions. The consultant will then clean the dataset, conduct the proposed analysis, and prepare presentation with findings Work closely with GAIN in the interpretation of findings to formulate recommendations on program actions, improvements, and lessons learned, as appropriate Support dissemination of findings by writing briefs and/or peer reviewed publication Conduct the data documentation with Nesstar publisher of the endline dataset for Ethiopia

INSTRUCTIONS FOR RESPONDING This section addresses the process for responding to this solicitation. Applicants are encouraged to review this prior to completing their responses.

CONTACT Please direct all inquiries and other communications to GAIN (edjimeu@gainhealth.org with cc to wgonzalez@gainhealth.org ). Please use the subject line ‘Consultant- Data analyst’.

BUDGET Applicants are required to provide GAIN with a detailed fee proposal, including the number of days of work projected and the daily rate. The final fee will have to be approved by the organisation prior to starting the project.

SUBMISSION Interested consultants should prepare: (a) a brief (<3 pages) CV highlighting recent relevant experience and publications; (b) a cover letter and (c) an estimated days and daily rate;

These documents should be sent to GAIN ( edjimeu@gainhealth.org with cc to wgonzalez@gainhealth.org ). Applications will be reviewed on a rolling basis. Deadline to apply is 3 September 2021. Please use the subject line ‘Consultant- Data analyst’ when responding.

DEADLINE Completed proposals should be submitted to GAIN ( edjimeu@gainhealth.org with cc to wgonzalez@gainhealth.org ) before 3 September 2021, 23:59 US Eastern Time.

UNACCEPTABLE The following proposals will automatically not be considered or accepted:

Proposals that are received after the RFP deadline at the specified receiving office. Proposals received by fax. Incomplete proposals. Proposals that are not signed.

(5) REVISIONS Proposals may be revised by electronic mail and confirmed by hard copy provided such revision(s) are received before the deadline.

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Global Alliance For Improved Nutrition (GAIN)- Request For Proposals From Consultants – Data Analyst To Analyse Monitoring Data From Ethiopia And Nigeria

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