Non-profit, social work Jobs in Kenya

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Mercy Corps

Monitoring, Evaluation And Learning (MEL) Technology Coordinator – Cash Consortium Of Sudan (CCS)

Nairobi, Kenya

UN-Habitat

CLOSED

Landscape Architect / Designer

Nairobi, Kenya

International Rescue Committee

CLOSED

ERP Data Migration Specialist

Nairobi, Kenya

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United Nations Office for Project Services

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Carbon Analyst

Nairobi, Kenya

Monitoring, Evaluation And Learning (MEL) Technology Coordinator – Cash Consortium Of Sudan (CCS)

Closing: Apr 29, 2024

9 days remaining

Published: Apr 19, 2024 (1 day ago)

Job Requirements

Education:

Work experience:

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Job Summary

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The CCS MEL Technology Coordinator will support the establishment and ongoing maintenance of a harmonized/standardized common data standards, data schema, and data collection tools that would be available for the entirety of the consortium. This includes creating interactive reporting infographics such as dashboards and other business intelligence solutions; establishing harmonized/standardized (but adaptable) questions/variable naming conventions, identifying data types/database schema to be able to establish a harmonized consortium MEL Microsoft Azure cloud database/infrastructure that is integratable with the Mercy Corps MEL Tech suite of tools (including CommCare, Power BI). The MEL Technology Coordinator will also support the setup, piloting, customization, documentation/guidance, development and deployment of the CommCare data management system and data automation system (cleansing/processing/analytics through linkages between CommCare, Microsoft Azure and Microsoft Power BI).

The role will provide programmatic support to the MEL Manager and Consortium Director, leading information management and data quality control. It will also effectively assist the CCS MEL Manager in tracking indicators, processing data and establishing monitoring and evaluation practices with high quality standards.

The MEL Technology Coordinator is responsible for  the management, implementation and administration of the consortium's Azure databases and will support the information sharing and analysis processes with other programs, organizations and institutions. They also inform the MEL Manager about early alerts related to compliance with minimum standards of monitoring, evaluation and data quality required by donors and partner organizations.

They will support the capacity building and mentoring strategy for the MEL staff of CCS partners on regular Monitoring, Evaluation and Learning activities. Additionally, will work with different team members globally across HQ (PaQ, TSU, HLR, T4D, IT) and with Mercy Corps country/regional program and MEL team members to establish and document the data standards/data schema, workflows and strategies related with MEL automation processes. 

SUPERVISORY RESPONSIBILITY

THIS POSITION DOES NOT HAVE SUPERVISORY RESPONSIBILITY.

Accountability

Reports Directly To: CCS MEL Manager.  

Works With: HQ PAQ/MEL team, CCS Director, CCS MEL Manager and CCS partner MEL and Program national/local teams (including Mercy Corps Sudan MEL team).

Accountability to Participants and Stakeholders

Mercy Corps team members are expected to support all efforts toward accountability, specifically to our program participants, community partners, other stakeholders, and to international standards guiding international relief and development work. We are committed to actively engaging communities as equal partners in the design, monitoring, and evaluation of our projects. 

Knowledge and Experience

Required

  • Bachelor's degree and/or professional certification in engineering, IT, computer science,  economics, statistics, business administration, social sciences or related fields.
  • Minimum 5 years of demonstrated professional experience, and a minimum of 2 years of demonstrated professional experience in international relief and development with knowledge of relevant sectoral and/or operational areas. 
  • The ideal candidate could either be an IT professional with some experience of humanitarian / development work, or, an experienced MEL professional with some working knowledge of data science and/or data engineering.. 
  • Experience in development and implementation of information systems and primary data collection tools is mandatory. Experience of using statistical/programming software (such as STATA, R, Python, SQL) to establish data pipelines to extract, transform, load data between different data storage containers and analysis software is desirable. 
  • Demonstrated experience developing data collection tools using XLS Forms, or case management platforms such as SurveyCTO, CommCare, ActivityInfo
  • Demonstrated experience on harmonizing data collection tools across multiple programs/sectors. Solid concepts of database management and information analysis.
  • Demonstrated ability to critically evaluate data, identify errors and weaknesses, and conduct data cleaning and manipulation.
  • Experience with descriptive and inferential statistics and conducting aggregate data analysis (combining common data across different programs/datasets).
  • Experience facilitating technical training and consultations remotely and or in-person.
  • Experience working with an interdisciplinary team of diverse professionals (team members from different cultures - technical, and non-technical) to deliver a functional technical solution that improved business/program processes and decision making.
  • Proficiency with MS Office software (Outlook, Word, Excel, PowerPoint)
  • Ability to pick up technical skills in a variety of software platforms and applications through self-directed learning. 
  • Ability to manage teams and meet deadlines.
  • Ability to work independently.
  • Excellent communication and organizational skills.
  • Proficiency in English 

Preferred (not required)

  • Knowledge of design and implementation of data architecture platforms, infrastructure, pipelines, and technologies to effectively automate business/program processes. 
  • Experience with REST and/or OData API integration
  • Experience architecting and developing cloud database/storage systems and analytics solutions (such as Microsoft Azure, Amazon Web Services, etc.)
  • Experience developing, implementing, deploying, and maintaining virtual machines, virtual servers
  • Experience with Azure Cloud, especially Synapse SQL analytics pools (SQL DW);
  • Experience implementing data governance practices and requirements within data systems architecture and process
  • Experience with GitHub/Gitlab
  • Experience with GIS software (e.g. ArcGIS, QGIS)
  • Proficiency in Arabic. 
  • Azure, Oracle, Google, and/or AWS cloud data solutions design certification desirable.


Responsibilities

The CCS MEL Technology Coordinator will support the establishment and ongoing maintenance of a harmonized/standardized common data standards, data schema, and data collection tools that would be available for the entirety of the consortium. This includes creating interactive reporting infographics such as dashboards and other business intelligence solutions; establishing harmonized/standardized (but adaptable) questions/variable naming conventions, identifying data types/database schema to be able to establish a harmonized consortium MEL Microsoft Azure cloud database/infrastructure that is integratable with the Mercy Corps MEL Tech suite of tools (including CommCare, Power BI). The MEL Technology Coordinator will also support the setup, piloting, customization, documentation/guidance, development and deployment of the CommCare data management system and data automation system (cleansing/processing/analytics through linkages between CommCare, Microsoft Azure and Microsoft Power BI).

The role will provide programmatic support to the MEL Manager and Consortium Director, leading information management and data quality control. It will also effectively assist the CCS MEL Manager in tracking indicators, processing data and establishing monitoring and evaluation practices with high quality standards.

The MEL Technology Coordinator is responsible for  the management, implementation and administration of the consortium's Azure databases and will support the information sharing and analysis processes with other programs, organizations and institutions. They also inform the MEL Manager about early alerts related to compliance with minimum standards of monitoring, evaluation and data quality required by donors and partner organizations.

They will support the capacity building and mentoring strategy for the MEL staff of CCS partners on regular Monitoring, Evaluation and Learning activities. Additionally, will work with different team members globally across HQ (PaQ, TSU, HLR, T4D, IT) and with Mercy Corps country/regional program and MEL team members to establish and document the data standards/data schema, workflows and strategies related with MEL automation processes. 

SUPERVISORY RESPONSIBILITY

THIS POSITION DOES NOT HAVE SUPERVISORY RESPONSIBILITY.

Accountability

Reports Directly To: CCS MEL Manager.  

Works With: HQ PAQ/MEL team, CCS Director, CCS MEL Manager and CCS partner MEL and Program national/local teams (including Mercy Corps Sudan MEL team).

Accountability to Participants and Stakeholders

Mercy Corps team members are expected to support all efforts toward accountability, specifically to our program participants, community partners, other stakeholders, and to international standards guiding international relief and development work. We are committed to actively engaging communities as equal partners in the design, monitoring, and evaluation of our projects. 

Knowledge and Experience

Required

  • Bachelor's degree and/or professional certification in engineering, IT, computer science,  economics, statistics, business administration, social sciences or related fields.
  • Minimum 5 years of demonstrated professional experience, and a minimum of 2 years of demonstrated professional experience in international relief and development with knowledge of relevant sectoral and/or operational areas. 
  • The ideal candidate could either be an IT professional with some experience of humanitarian / development work, or, an experienced MEL professional with some working knowledge of data science and/or data engineering.. 
  • Experience in development and implementation of information systems and primary data collection tools is mandatory. Experience of using statistical/programming software (such as STATA, R, Python, SQL) to establish data pipelines to extract, transform, load data between different data storage containers and analysis software is desirable. 
  • Demonstrated experience developing data collection tools using XLS Forms, or case management platforms such as SurveyCTO, CommCare, ActivityInfo
  • Demonstrated experience on harmonizing data collection tools across multiple programs/sectors. Solid concepts of database management and information analysis.
  • Demonstrated ability to critically evaluate data, identify errors and weaknesses, and conduct data cleaning and manipulation.
  • Experience with descriptive and inferential statistics and conducting aggregate data analysis (combining common data across different programs/datasets).
  • Experience facilitating technical training and consultations remotely and or in-person.
  • Experience working with an interdisciplinary team of diverse professionals (team members from different cultures - technical, and non-technical) to deliver a functional technical solution that improved business/program processes and decision making.
  • Proficiency with MS Office software (Outlook, Word, Excel, PowerPoint)
  • Ability to pick up technical skills in a variety of software platforms and applications through self-directed learning. 
  • Ability to manage teams and meet deadlines.
  • Ability to work independently.
  • Excellent communication and organizational skills.
  • Proficiency in English 

Preferred (not required)

  • Knowledge of design and implementation of data architecture platforms, infrastructure, pipelines, and technologies to effectively automate business/program processes. 
  • Experience with REST and/or OData API integration
  • Experience architecting and developing cloud database/storage systems and analytics solutions (such as Microsoft Azure, Amazon Web Services, etc.)
  • Experience developing, implementing, deploying, and maintaining virtual machines, virtual servers
  • Experience with Azure Cloud, especially Synapse SQL analytics pools (SQL DW);
  • Experience implementing data governance practices and requirements within data systems architecture and process
  • Experience with GitHub/Gitlab
  • Experience with GIS software (e.g. ArcGIS, QGIS)
  • Proficiency in Arabic. 
  • Azure, Oracle, Google, and/or AWS cloud data solutions design certification desirable.


ESTABLISH HARMONIZED/STANDARDIZED DATA COLLECTION TOOLS, COMMON DATA STANDARDS

  • Maintain and develop the information system for the Cash Consortium of Sudan (CCS), including all data collection, transformation, visualization and security tools and processes with the objective of contributing to the continuous improvement of the consortium's MEL activities.
  • Maintain harmonized/standardized data collection tools (XLS forms in CommCare) in collaboration with the CCS MEL Manager for the following program activity phases: Household Vulnerability Assessments; Participant Selection, Registration, Verification; Baseline/Endline; Cash Distributions (Households and Community Based Organizations); Post-Distribution Monitoring (PDM).
  • Establish and maintain standardized Power BI Dashboards based on the developed standardized data collection tools.
  • Frequently review the CCS Data Management Plan, ensuring that it aligns with Mercy Corps and donor minimum standards.
  • Identify and align new questions, variables (and their data types), data naming conventions, and indicators across the different data collection forms from the above phases.
  • Facilitate the development and implementation of CCS-specific technology solutions to improve collaboration, coordination and team performance.

PROGRAM MANAGEMENT

  • Lead the information management and regular quality control of program data, with the objective of ensuring the technical quality of all consortium M&E activities. This includes coordinating on partners on case management in the consortium's data management system.
  • Facilitate and promote the analysis of results and follow-up of program management through innovative statistical and communication tools and identify gaps in the technical capacities of the monitoring and evaluation teams and propose plans for improvement and capacity building.
  • Assist in processing data for ECHO and other internal reports, and help prepare the Consortium team for presentations to high-level stakeholders.
  • Contribute to the CCS MEL strategy, in actions such as technical strengthening of field teams and inter-organizational coordination, promoting the use of best practices and compliance with MEL procedures designed in the consortium. 

ESTABLISH, TEST, AND IMPLEMENT AUTOMATED AZURE DATA INFRASTRUCTURE

  • Establish, maintain, and improve Microsoft Azure data architecture and data processing pipelines, including the use of Azure Data Factory, Logic Apps, Azure Data Lake Storage, Azure SQL DB, Azure Synapse
  • Develop, maintain, and improve data connections between key CCS data sources (e.g. CommCare, Excel, SharePoint, Google Drive) and the established Microsoft Azure data architecture environment using available Azure tools.
  • Implement, maintain, and actively monitor the servers, virtual machines, applications, and software of the Azure data platform.
  • Ensure and maintain a high level of data protection, security and confidentiality of the data platform to prevent unauthorized access.
  • Follow processes and maintain version control over the code assets within the Microsoft Azure data platform and GitHub repositories.
  • Engage with data analysts, visualization/BI developers, data scientists to prep datasets for data analysis and visualization.
  • Work with Mercy Corps PaQ/MEL, IT, T4D team members as well as Microsoft Cloud data and infrastructure architects to ensure harmonized data collection tools and schema are properly deployed into effective automated data pipelines/data architecture in Microsoft Azure. 
  • Run tests and oversee pilot implementation of the dataflows and architecture (in a participatory manner) as necessary. 

TECHNICAL SUPPORT TO CCS MEL TEAMS

  • Engage teams to provide feedback/learnings on needed improvements to the harmonized/standardized data collection tools/data standards.
  • Engage CCS MEL teams to gather feedback/learnings on the automated Azure data pipelines/infrastructure.
  • Provide support to CCS MEL teams in person and/or remotely to support the use of the consortium's technology tools, with the objective of enabling them to internally troubleshoot issues.
  • Generate and share with CCS partners regular reports associated with deduplication purposes, data quality management, case management, field team performance, etc.
  • Manage CommCare data systems and CCS databases related to indicator compliance and duplicate management.
  • Closely document IT/database/development processes associated with CCS MEL Plan and Analysis plan, including regular Monitoring and Evaluation procedures as well as automation tools like Microsoft Azure architecture. 

DATA AGGREGATION AND ANALYSIS

  • With supervision from the CCS MEL Manager and in coordination with the partners MEL teams, identify data analysis processes for the harmonized/standardized data collection tools/variables.
  • Identify what components/data is needed in order to conduct effective aggregate analysis of harmonized/standardized data variables.
  • Where appropriate/applicable, conduct aggregate data analysis of the harmonized/standardized data variables.

AGENCY COORDINATION & REPRESENTATION

  • Engage with external agency stakeholders on harmonized/standardized common data standards and schemas across like-sector programs
  • Engage with Microsoft Cloud Data and Solutions Architects to ensure the harmonized/standardized common data standards/schema are effectively built into the Microsoft Azure cloud data infrastructure.


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