Data Officer

The Data Officer is responsible for the production of IMPACT’s analysis products on Ethiopia, including the preparation of research design, support in designing sampling methods, data analysis plans, data collection tools, data cleaning scripts and processes, analysis scripts, analysis outputs and (as relevant) production of web maps and information management systems. The Data Officer, in close liaison with the assessment teams, engages with partners to promote their participation in data processing, analysis or relevant topics, to maximize the uptake and use of IMPACT/REACH research. When relevant, or managing a project, they also ensure an efficient and transparent use of resources required for project implementation.

The Data Officer is responsible for the following:

RESEARCH CYCLE MANAGEMENT

• Contribute towards the identification and implementation of effective and adapted data management and analysis solutionsfor IMPACT research in Ethiopia, in line with IMPACT’s relevant research and data guidelines.

• Research planning and designthrough leading on sampling designand in coordination with relevant assessment and GIS staff construct quantitative sample;

• Providing training on data cleaning and management techniques;

• Overseeing data analysis set-up(specifically conducted in the R environment).

DATA MANAGEMENT

• Data management, cleaning and analysisincluding monitoring of the accuracy of data collected, cross- checking data collected in the field;

• Maintaining R-based systems of data management and analysis, serving as the focal point for statistical analysisand quantitative reporting;

• Developing cleaning and analysis(descriptive, hypothesis testing, correlation, and regression analyses) scripts in R;

• Contributing to the automatization of data analysisprocesses.

TEAM MANAGEMENT AND CAPACITY BUILDING

If the Data Officer provides direct line management to staff:

• Conduct regular meetings with staff members to assess progress in relevant research cyclesand to review work plans;

• In coordination with CC, RM and Data/GIS Manager, conduct induction for new staff members, including training in basic technical data processing and analysis competencies.

• Support to the IMPACT CC, RM and Data/GIS Manager, in the development and implementation of capacity training plansfor data and other team members. They are responsible for setting clear and personalised development goals, and designing training and mentorship plans to assist team members in professional development.

• Be available to provide regular support and technical backstopping to all teams and unitswithin country office.

INFORMATION MANAGEMENT

• Developing information products and dashboardswith the collected data;

• Providing information management supportto other team members, or humanitarian stakeholders;

• Other tasks falling within their functions as requested by supervisors.

EXTERNAL ENGAGEMENT

• Upon the request of the line manager, support in consulting with partners at all stages of research cycle: assessment preparation; data collection; data analysis; review of research products; product dissemination; and lessons learnt.

• Ensure that all partner engagement and all external relations are clearly documented and communicated with the line manager and relevant colleagues;

INTERNAL COORDINATION

• Actively participate in regular team meetings;

• Ensure regular coordination and exchange with relevant colleagues;

• Ensure regular communication with HQ Research Design and Data unit.

• Engage in the development and implementation of IMPACT’s strategy in Ethiopia.

The Data Officer will maintain the strictest confidentiality on all data collected and related processes, ensuring full compliance with IMPACT’s data protection policy and SOPs. They will actively take measures to prevent the unauthorized sharing of any information and data belonging to IMPACT and its partners or collected during their assignment with IMPACT.

The position is based in Kampala, with frequent travel to Ethiopia. The level (DO or SDO) will depend on the candidates experience and qualifications.

• 
  Years of work experienceAt least 2 years of relevant working experience in a similar role in data science, preferably in the humanitarian field;

• Research skillsProficiency and proven experience with research methods, including both quantitative and qualitative research. Excellent analytical skills, experience conducting multi-sectoral analysis highly desirable;

• Statistical skillsStrong statistical and analytical skills including correlation and regression analysis;

• Software skillsAdvanced knowledge of R, STATA, Python or equivalent statistical software (with a willingness to develop advanced R skills). Knowledge of ArcGIS or Power Bi an advantage;

• Level of independenceProven ability to work independently;

• Communication/reporting skillsExcellent communication and drafting skills for effective reporting;

• Organizational and coordination skillsStrong presentation, and organisational skills;

• Multi-tasking skillsAbility to multitask with tight deadlines;

• Cross-cultural work environmentAbility to operate in a cross-cultural environment requiring flexibility;

• Academic qualificationsExcellent academic qualifications, preferably including a Master’s degree in a relevant discipline (Computer or Data Science, Statistics, Social Science, Economics, or related);

• Security environmentAbility to operate in a complex and challenging security environment.

• Experience in geographical regionPast experience in the region is desirable;

• Language skillsFluency in English required.