Sr. Analyst (Research)

A — Research Conceptualisation & Design

B — Data Collection & Fieldwork

• Primary collection: survey administration (CAPI/CATI/paper); interviewing (rapport, probing, active listening); structured observation and field recording
  
• Field operations: enumerator recruitment, training and supervision; fieldwork logistics and scheduling; real-time monitoring
  
• Secondary data acquisition: sourcing administrative and government datasets; extraction, compilation and linkage; assessing provenance and fitness-for-use
  
• Data quality assurance: back-checks and spot validation; consistency and range checks; audit trails
  

C — Data Management & Analysis

• Data preparation: cleaning, de-duplication and outlier handling; missing-data treatment; coding, structuring and codebook/metadata documentation
  
• Quantitative analysis: descriptive statistics; inferential testing and regression; advanced methods (multivariate, psychometrics/IRT, equating, causal inference); tool fluency (R, Python, SPSS, Stata)
  
• Qualitative analysis: thematic and content analysis; grounded-theory coding; QDA software (NVivo, etc.)
  
• Interpretation & synthesis: pattern and trend identification; triangulation across sources; data visualisation for insight
  

D— Communication, Report writing

• Technical & academic writing: report structuring; publication and manuscript writing; citation and referencing discipline
  
• Dissemination: presentation and public speaking; data storytelling; conference/workshop facilitation
  
• Stakeholder engagement & policy translation: policy-brief writing; audience-tailored messaging; advisory and consultative engagement with policymakers, practitioners and the public
  

E- Transversal / Foundational skills

• Research ethics and integrity; project and time management; digital and data literacy; critical thinking and problem-solving; collaboration and teamwork; multilingual/field-language competence; adaptability under field conditions.