Senior Data Analyst (Census) (5194)

In this role you will lead the design and delivery of data models and analytical structures to support Scotland’s Census 2031. You will work closely with data architecture to shape how census and administrative data are structured, integrated and used, enabling high‑quality statistics for government planning. You will drive the development of robust data transformation pipelines and ensure transparent, reproducible results. This is a large-scale, time-limited programme with a strong impact on public services and policy. You will operate across cross‑functional teams to deliver measurable statistical outputs and insights.

• Civil Service pension scheme (employer contribution 28.97%)
• Learning and development tailored to your role
• Flexible working options
• Inclusive and diverse culture

• Design, build and maintain data models and analytical structures for Census and population data
• Translate data architecture designs into implementable data models and transformation pipelines
• Define and apply standards for structuring, transforming and quality‑assuring census data
• Develop schema designs that enable efficient querying and analysis of large‑scale demographic datasets
• Deliver data integration and linkage with administrative data sources, supporting consistency and comparability
• Implement estimation, aggregation and geographic data structures to support statistical outputs
• Document data models, metadata and transformation processes to ensure transparency and reproducibility

• Significant experience in data analysis or statistics, ideally within government or large-scale data environments
• Advanced proficiency in statistical programming (R or Python) and SQL
• Experience working with large, complex datasets (e.g., census, survey, administrative data)
• Proven ability to lead analytical projects and influence senior stakeholders

• Changing and Improving
• Delivering at Pace
• Stakeholder engagement
• Applying statistical and analytical tools and techniques - Practitioner
• Data management - Practitioner
• Data visualisation - Practitioner