Job Expired
International Rescue Committee (IRC) Ethiopia
ICT
Information Science
Addis Ababa
4 years
1 Position
2022-11-16
to
2022-11-21
Information science
Computer sciences
Statistics
Full Time
Share
Job Description
Job Description
BACKGROUND: The International Rescue Committee (IRC) responds to the world’s worst humanitarian crises and helps people to survive and rebuild their lives. Founded in 1933, the IRC offers lifesaving care and life-changing assistance to refugees forced to flee from war or disaster. IRC has been working in Ethiopia since 1999 and is implementing coordinated, community-managed programs aimed at improving the quality of lives and recovery of livelihood of the disaster affected population, including host communities, through promoting individual participation, strengthening institutions, and emergency response.
Job Overview/Summary:
Are you passionate about using technology to improve monitoring and evaluation? We are growing our team to improve the use of technology in M&E. Together we will develop and deploy new data tools, transition from paper to electronic data collection, and improve our data flows.
Reporting directly to the MEAL Coordinator, you will strengthen the MEAL efforts, approaches, and systems to foster use of data for program quality improvement and decision making and support IRC’s global and measurement ambitions of Strategy 100 and the Country Strategic Action Plan. You will oversee the MEAL functions of Ethiopia Country Program.
Responsibilities: -
1. Deployment of technologies for data collection
Undertaking technology needs assessments for IRC programs to support evidence generation for Strategic Action Plan and programmatic consumption.
Designing and implementing project plans for countries/programs transitioning to new data collection tools
Configuration of non-standard project/program indicators in data collection tools
· Ensuring data validation is well embedded in the structure of data collection tools
Collaborating with program, MEAL, IT, and supply chain teams to plan purchase of devices
System training and ongoing end-user support for IRC staff and partners
2. Supporting data management, analysis, and visualization
Set up and maintain database and dashboard for visualizing M&E data using standard XLSX and PBIX templates for all projects in IRC Ethiopia Country Program.
Support MEAL team in data collection, reporting, management, and real time visualization
Support in Indicators data tracking and visualization with Up-to-date technology applications
Undertaking data quality assessments for current databases
Migration or transformation of existing project or country level data into standard data structures
Providing training to M&E staff on indicator databases and dashboards
3. Understanding user needs and ensuring these needs are well understood throughout the team
Gathering user feedback on data tools during and after deployment
Participating in requirements capturing and user acceptance testing (UAT) for new tools
Sharing user feedback with colleagues in IT and other team feedback
At least 4 years of professional experience, technology tools use in humanitarian/development work.
BSc/MSc in Information Science, Computer Science, Data Science, Informatics, Database Management, Statistics, Information Management System or related subject with solid database management knowledge and skills.
Experience configuring and deploying Commcare, Kobo, Power BI, SQL Server, or Power Apps
Experience of providing technology support and training
Knowledge of standard methodologies in database design
Ability to work independently and efficiently in a multifaceted environment
Working Environment
Due to the current Coronavirus pandemic, this role may initially be working remotely and providing remote support. As travel restrictions lift, the role will transition to an office environment, and travel up to 40% of the time to provide in-person support to colleagues in our country offices.
Register using the following LINK
Note: Female candidates are highly encouraged to apply.
Fields Of Study
Information science
Computer sciences
Statistics