KEY ROLES AND RESPONSIBILITIES

The REACH Data Officer responsibilities include the following:

Research Planning

• Contribute towards the identification and implementation of effective and adapted data management and analysis solutions for REACH research in Somalia and Kenya, in line with REACH’s relevant research and data guidelines.
• Support as designated by line manager sampling design, creation and management of data collection tools ODK or KoBo, training on data cleaning and management techniques, support for data analysis set up specifically conducted in the R environment.
• Contribute to draft research ToRs with a specific focus on sampling, data collection tools, the data analysis plan, as well as data management plan;
• Support the development of qualitative and quantitative data collection tools, ensuring requirements of research cycle/assessment are met;
• In coordination with relevant assessment and GIS officers, support construction of quantitative sample; Keep track of progress and delays of all assigned tasks throughout the research cycle. Ensure that delays or identified problems are reported by writing and orally in a timely manner.

Research Implementation

• When relevant, support the identification and training of enumerators for primary data collection.
• When relevant, support oversight of data collection, in line with agreed TORs including their Annexes, including data cleaning processes, checks and data cleaning scripts.
• In coordination with relevant assessment officers, document all changes in data collection that lead to a modification in the agreed TORs, ensuring that the Research manager, GIS Manager, IMPACT CC, and IMPACT HQ are informed and agree on the modifications.

Data Management, Cleaning and Analysis

• Monitor accuracy of data collected in line with IMPACT’s Data Cleaning Minimum Standards Checklist.
• Cross check data collected in the field, ensure regular updates, and solve eventual discrepancies.
• Maintain, update and expand R-based systems of data management and analysis for data dissemination and reporting;
• Support statistical analysis and quantitative reporting on assessments.
• Develop interactive data visualizations and dashboards using Power BI or R Shiny

Drafting of Products

• Ensure that all REACH analysis products meet the requirements of REACH and concerned partners.
• In support of the Research Manager or CC, as requested, provide regular communication with IMPACT HQ on progress and deadlines for analysis outputs
• Ensure the drafting of timely and accurate data and analysis products such as factsheets, graphics, web maps, dashboards, which comply with IMPACT’s guidelines;
• Ensure findings are accurately reported given the data collection and analysis methodology planned in TORs.
• Ensure that all analysis outputs are validated by IMPACT HQ before external release.

Knowledge sharing and learning processes

• Provide content and contributes to lessons learned exercises

Capacity building

• In coordination with line manager, conduct induction for new staff members, including training in basic technical data processing and analysis competencies
• Support the REACH GIS Manager in the development and implementation of capacity training plans for data and other team members within the Horn of Africa.
• Be available to provide regular support and technical backstopping to all teams and units within the country office.

Internal Coordination

• Actively participate in regular team meetings.
• Ensure regular coordination and exchange with relevant colleagues.
• Engage in the development and implementation of IMPACT’s strategy in Somalia and Kenya.

Data Confidentiality and Protection

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. He/she will actively take measures to prevent the unauthorized sharing of any information and data belonging to IMPACT and its partners or collected during his/her assignment with REACH.

REQUIRED QUALIFICATIONS AND TECHNICAL EXPERTISE

• Masters’ degree in a relevant discipline Computer Science, Data Engineering, Information Management Systems, Statistics, Mathematics, etc.. Or, Bachelor’s degree in relevant discipline with relevant work experience;
• 5 years of experience in Data Science, Statistics, programming or GIS, preferably in a humanitarian context;
• Excellent analytical skills;
• Proficient knowledge of R programming language, Python, and other relevant data management software
• Experience with cleaning and analyzing large datasets required.
• Ability to design interactive dashboards using Power BI or R Shiny
• Proficiency in Git/GitHub for collaborative coding and reproducible workflows
• Ability to build ETL pipelines for cleaning and transforming data efficiently.
• Ability to apply machine learning techniques for humanitarian data analysis, such as Predictive modeling and Classification and clustering for population segmentation.
• Strong skills in Excel required;