ACES researcher and data analysis

• Review and refine both quantitative and qualitative data collection tools (e.g., surveys, interviews, digital platforms, etc.).
• Develop standard Operating Procedures to ensure consistent data collection quality.
• Clean, validate, and transform data sets to ensure accuracy and facilitate comprehensive analysis.
• Conduct statistical analysis (descriptive, hypothesis testing, regression, etc.) using standard tools including but not limited to SPSS, R, Python, Stata etc.
• Create and manage interactive data visualisations and dashboards (e.g., Tableau, Power BI).
• Document analytical procedures and maintain high standards for data quality, integrity, security, and ethical compliance as per ACES protocols.
• Carry out programming analytics using Python, R, or other data science programming languages.
• Conduct qualitative data analysis to draw insights.
• Draft technical reports and contribute to academic publications.
• Collaborate and communicate regularly with ACES and the CCN teams and experts to support comprehensive and timely data analysis for various projects.

Minimum Bachelor's degree required; MSc or Ph.D. preferred, in Statistics, Data Science, Computer Science, Econometrics, or related data analysis applied field, or equivalent experience. Candidates with interdisciplinary backgrounds are encouraged to apply.

Experience:

• Proven experience in data analysis/analytics, research, or monitoring & evaluation.
• Successfully completed at least 3-5 complex data analysis projects involving large, diverse datasets.
• Previous understanding of logistics, cold-chain or food systems is highly desirable.
• Proven experience in quality review of data collection tools and survey design.
• Demonstrated experience with quantitative and qualitative research methods and analysis.
• Big data analysis is a plus.

Technical Skills:

• Proficiency in statistical and analytical software packages (e.g., SPSS, R, Python, SPSS, Stata, Excel, etc.).
• Familiarity with digital data collection platforms and quality assurance processes (e.g., ODK, SurveyCTO, etc.).
• Demonstrated ability to deliver complex, large-scale analytical projects efficiently and within deadlines.
• Strong Excel and SQL skills.
• Proven technical and scientific writing capabilities.
• Expertise in storytelling through data, including visualisation (using tools, e.g., Tableau, Power BI, etc.) and narrative reporting.
• Proficiency in Data-Driven Decision Making.
• Ability to carry out analytics on established key performance indicators to inform monitoring and track progress.
• Demonstrated knowledge of data security, privacy practices, and ethical standards.

Soft skills:

• Commitment to excellence, curiosity, and continuous learning.
• Strong collaboration skills and openness to empowering and being empowered by colleagues.
• Exceptional transparency, trustworthiness, and integrity.
• Strong analytical and critical thinking capabilities.
• Exceptional professional ethics and strong organisational skills.
• Excellent written and verbal communication skills.
• Ability to work independently and proactively manage complex tasks with sustained attention to detail.
• Adaptability and flexibility in multicultural, international contexts.

Other Information
Inclusivity Statement: ACES actively promotes inclusivity and diversity, welcoming applications from all qualified candidates irrespective of gender, sexual orientation, beliefs, age, disability, or other characteristics.