Clean and transform survey datasets.
Build schemas and automated reporting pipelines.
Produce concise summary tables and visual outputs for internal teams and clients.
Prepare datasets and document project requirements.
Develop data cleaning processes and create automated results tables.
Present data clearly to non‑technical stakeholders.

Strong analytical mindset with comfort handling quantitative survey data and attention to data quality.
Proficient in Microsoft Excel and experienced with at least one scripting language for data work (Python or R).
Able to clean, transform and join datasets from multiple sources and document schemas/definitions.
Clear communicator who can explain data findings to non‑technical colleagues and support project teams.
Organised and able to prioritise work to meet deadlines while managing own workload.
Collaborative team player who shares knowledge and works across functions.
Proficiency in AI use and adoption to speed routine tasks (e.g., data preparation, code snippets, synthesis) and improve deliverables.
Strong numerical, analytical and problem‑solving ability.
Advanced Excel skills (pivot tables, formulae, data cleaning).
Practical experience with Python or R for data manipulation and analysis.
Experience cleaning, transforming and joining survey datasets.
Ability to produce clear summary tables and basic visualisations for reporting.
Good written and verbal communication; ability to present findings to non‑technical audiences.
Organisational and time‑management skills with a focus on accuracy and data governance.

Junior Data Analyst

Key skills