Job

Proven experience with data cleaning and preprocessing in Python, R, or similar languages.

• Strong knowledge of Excel and data visualisation tools (e.g., Power BI, Tableau, Plotly, or similar).


• Experience working with large, messy, or incomplete datasets. 


• Excellent communication skills, both written and verbal. 


• Ability to work independently and collaboratively in a fast-paced research environment.

• Familiarity with survey methodologies and data collection processes. 


• Experience with database systems (SQL, PostgreSQL). 


• Knowledge of APIs or tools for app data integration. 


• Experience in social science research or public sector analytics. 


• Familiarity with ethical handling of sensitive and personal data.

• We are seeking a highly motivated and detail-oriented Data Analyst to join our team.


• The ideal candidate will play a key role in cleaning, analysing, and summarising complex datasets collected from surveys, interviews, mobile applications and secondary data sources.

• Clean, transform, and validate raw survey and app-collected data for use in analysis and visualisation. 


• Conduct descriptive and inferential statistical analysis to extract insights from datasets.


• Develop clear, concise data summaries and reports for non-technical stakeholders.


• Collaborate with the dashboard development team to ensure data accuracy and clarity in visualisations. 


• Identify patterns, trends, and anomalies in the data to inform social science research questions. 


• Document data processes, code, and analysis logic for reproducibility and transparency. 


• Support the design and continuous improvement of data pipelines and workflow automation.