REACH Data Analyst

OBJECTIVES

1. Research planning

• Contribute to research design and Terms of Reference, including sampling, data collection tools, data analysis plans and data management plans, under appropriate technical guidance.
• Work with assessment colleagues to translate agreed questionnaires into Kobo/ODK tools; test skip logic, constraints, calculations and translations before deployment.
• Support sampling calculations and sample preparation with assessment and GIS colleagues, documenting assumptions and limitations.
• Prepare data quality checks, cleaning procedures and analysis scripts in R. Agree task timelines with the line manager and report delays or technical issues promptly.

2. Research implementation

• Support enumerator training on data collection tools, data quality and data protection, and provide technical support during data collection.
• Run regular checks for completeness, consistency, duplicates, outliers and sampling progress; share actionable feedback with assessment and field teams.
• Check geographical references with GIS colleagues where relevant and resolve discrepancies with the responsible teams.
• Document changes to tools, sampling or data collection procedures and raise proposed methodological changes with the line manager for the required approvals.

3. Data management cleaning and analysis

• Clean and validate quantitative and qualitative datasets in line with REACH standards. Maintain cleaning logs and document decisions with assessment colleagues.
• Develop and maintain reproducible R scripts for data processing and analysis, including agreed indicators, disaggregation, weighting and statistical analysis as appropriate.
• Organize datasets, scripts and documentation using agreed naming, version control, storage and access procedures; maintain recurring data collection tools and workflows as assigned.
• Check analysis against the agreed data analysis plan, explain methodological limitations, and submit datasets, scripts and outputs for technical review before use.

4. Output production

• Prepare accurate datasets, summary tables, charts and other analysis products for reports, factsheets and presentations, in collaboration with assessment colleagues.
• Support dashboards, web maps and other information products according to skills and assigned portfolio, working with GIS and other technical colleagues.
• Ensure figures and findings are consistent with the approved methodology and final datasets; address review comments and support required Acted HQ validation before external release.
• Provide the line manager with updates on output progress and deadlines, and support maintenance of online products where assigned.

5. External engagement and dissemination

• At the line manager’s request, contribute technical inputs to partner consultations, joint analysis, product reviews and dissemination activities.
• Represent REACH in relevant meetings or present findings only with prior line manager approval; document discussions and follow up on agreed technical actions.
• Support partners’ understanding and appropriate use of REACH data and findings, including their limitations, while complying with approved data sharing arrangements.

6. Knowledge sharing and learning

• Contribute to lessons learned exercises and document improvements to data collection, processing and analysis workflows.
• Share reusable scripts, guidance and technical knowledge with colleagues and support practical learning for data interns or other staff as assigned, under senior technical guidance.

7. Data confidentiality and protection

• Maintain strict confidentiality of all data and related processes, in compliance with REACH data protection policies and standard operating procedures.
• Apply agreed access controls, secure storage and transfer procedures, and anonymization requirements. Do not share data externally without the required authorisation.
• Promptly report suspected data breaches or protection concerns to the line manager and follow organizational procedures. Comply with Acted policies and codes of conduct, including safeguarding requirements.

QUALIFICATIONS

• A bachelor’s degree in statistics, mathematics, data science, computer science, information management or another relevant discipline.
• At least two years of relevant experience in data management, analysis, statistics or programming; experience in a humanitarian or development context is preferred.
• Proficiency in R for data cleaning, analysis and reproducible workflows, with experience working with large datasets.
• Strong Excel skills and experience developing and testing Kobo, ODK or similar mobile data collection tools.
• Good understanding of sampling methods, descriptive statistics, data quality checks and responsible data management.
• Strong analytical skills, attention to detail and ability to document methods and communicate findings clearly.
• Ability to manage agreed tasks and deadlines, work independently with appropriate guidance, and collaborate in a multicultural team.
• Fluency in written and spoken English.

Desirable

• Experience with Python, GIS applications such as QGIS or ArcGIS, or dashboard and data visualisation tools.
• Experience supporting household or key informant assessments, enumerator training or recurring monitoring exercises.