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M & E Officer (Data Analyst Officer – Business Intelligence) , Kampala

Closing: Nov 18, 2022

This position has expired

Published: Nov 7, 2022 (2 months ago)

Job Requirements

Education:

Work experience:

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Job Summary

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PURPOSE 1/2

Strengthening the analytics capacity and protocols of the Unit (data structure, data management, data protection, data visualization) and lead the Geo-spatial analysis (mapping and analysis- ). The RAM officer will have staff under supervision and could be deployed to the field when required.

QUALIFICATIONS AND EXPERIENCE

  • Education: Master’s degree in data science, data analysis & management, data engineer or related degree – with a minimum of 3 years of postgraduate of relevant and progressive professional experience in data management and analysis and visualization. Studies in the field of food security, agriculture, nutrition or a closely related area, such as health, research, economics or information management systems is desirable. Or bachelor’s degree in data science or related degree – with at least four years of relevant experience in development food Security, nutrition or related fields.
  • Experience and Skills:
  • Advanced knowledge in data management/dynamic structure systems or languages such as SQL, R, Python, C++, and ODK is required
  • Experience on Tableau or other data visualization tools for analysis is essential.
  • Experience in quantitative and qualitative survey techniques and analyses with knowledge of statistical analysis (SPSS, STATA, R, etc.) is required
  • Experience in managing, supervising and coaching staff.
  •  Knowledge on early warning, remote monitoring and GIS, analysis of socio-economic issues and related policy matters is desirable.
  • Language: Fluency and accuracy in both oral and written communication in English.


Responsibilities
PURPOSE 1/2

Strengthening the analytics capacity and protocols of the Unit (data structure, data management, data protection, data visualization) and lead the Geo-spatial analysis (mapping and analysis- ). The RAM officer will have staff under supervision and could be deployed to the field when required.

QUALIFICATIONS AND EXPERIENCE

  • Education: Master’s degree in data science, data analysis & management, data engineer or related degree – with a minimum of 3 years of postgraduate of relevant and progressive professional experience in data management and analysis and visualization. Studies in the field of food security, agriculture, nutrition or a closely related area, such as health, research, economics or information management systems is desirable. Or bachelor’s degree in data science or related degree – with at least four years of relevant experience in development food Security, nutrition or related fields.
  • Experience and Skills:
  • Advanced knowledge in data management/dynamic structure systems or languages such as SQL, R, Python, C++, and ODK is required
  • Experience on Tableau or other data visualization tools for analysis is essential.
  • Experience in quantitative and qualitative survey techniques and analyses with knowledge of statistical analysis (SPSS, STATA, R, etc.) is required
  • Experience in managing, supervising and coaching staff.
  •  Knowledge on early warning, remote monitoring and GIS, analysis of socio-economic issues and related policy matters is desirable.
  • Language: Fluency and accuracy in both oral and written communication in English.


KEY ACCOUNTABILITIES (1/2)

1. Ensure high standards of quality, reliability and validity of the data, its analysis and visualization in line with WFP’s privacy and protection guidelines

. • Develop a data pipeline to automatize reports, link and adjust data visualization products, digitalize data collection tools within the Research, Analysis and Monitoring (RAM) Unit.

• Ensure that the unit has a strong data structure, that different data sources are up-date, linked/compatible with other units and have a dictionary of variables, following WFP protocols, and data privacy and protection guidelines.

• Contribute to the design and implementation of systems, tools for assessments and monitoring, as well as the review and update current data visualisation dashboards to best respond to area and country office needs

• Incorporate an accountability to affected population, protection and gender perspective in areas of work, to ensure equal participation of women and men

2.Support Data driven evidence-based decision-making process in a timely manner according to programmatic and strategic needs. (Data preparedness)

• Lead the development and or consolidation of a web-based results management system that produces reports, displays dashboards (compatible with WFP corperate system) and enable effective decision-making by WFP team

• Incentivize the use and improve the utility of the monitoring dashboards for operational and strategic decisions by the field, area and country offices as well as by our financial service providers and cooperating partners and strategic decision

KEY ACCOUNTABILITIES (2/2)

3.Develop protocols and procedures to ensure Two-way Accountability (from implementers to clients) and Transparency of Food Security and Nutrition Assessments and Analysis

• Contribute to (or lead when requested) the development of monitoring plans, tools and reviews that will provide the most relevant and strategic information toward achieving expected results (as set out in the Country Strategic Plan (CSP) and other global and regional plans), while being compliant with WFP needs assessment monitoring requirements.

• Lead and optimize (when needed) the monitoring standard operational processes for each implementation activity (General food assistance, Agricultural Market support, maternal and childcare nutrition, School feeding, Lean season response, etc.)

• Provide technical expertise in designing quantitative and qualitative data collection methodology for assessment, evaluations and research pieces.

• Collaborate with government and partner on joint deliverables, ensure the quality of data analysis and products


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