Data Analyst

Data Analyst

A strong Data Analyst is required to support a major data-transformation workstream within a clinical screening and diagnostics environment. You will work within a specialist team focused on modernising complex end-to-end processes using data-driven capabilities.

Medical sector experience preferred.

The role involves analysing datasets originating from multiple legacy systems, identifying and resolving data-quality issues, and helping shape future data structures, definitions and standards.

• Define and validate the meaning, structure and shape of target datasets.
• Quantify and categorise data-quality issues across multiple system instances.
• Translate data anomalies into clear, approved business rules in partnership with stakeholders.

• Ability to assess completeness, validity, consistency and uniqueness, and interpret what those issues mean operationally or clinically.
• Contribute to defining entities, relationships and minimum-viable datasets aligned to a target schema.
• Map legacy data fields to target data-dictionary definitions, identify ambiguous usage and propose standard terminology.
• Analyse duplicates, conflicts and missing values, proposing options and documenting trade-offs.
• Work closely with SMEs and operational teams to define handling of anomalies and confirm business meaning.
• Produce clear, decision-ready analytical outputs (issue summaries, dashboards, reconciliation logs, sign-off packs). Experience with tools such as Power BI for visualisation.
• Create clear analytical notes documenting methods, assumptions, rules and limitations for auditability and reproducibility.
• Strong SQL skills for analysis, validation and verifying data-engineering transformations.
• Proven experience with geospatial data (vector, raster, GeoJSON, shape files), coordinate reference systems, spatial workflows and producing geographical insights.
• Ability to translate local/regional spatial insights into national- or regional-level analytical outputs.
• Experience working with publicly available official datasets (e.g., census boundaries, geographic lookups, deprivation indices, population estimates).

• Strong communication and collaboration capability.
• Comfortable working closely with multidisciplinary teams.
• Enthusiastic, proactive and highly engaged.
• Able to work independently without needing step‑by‑step direction.
• Resilient in the face of ambiguity and organisational change.

• Knowledge of clinical screening pathways, operational reporting or KPI definitions (uptake, timeliness, outcomes).
• Familiarity with data-governance processes, data dictionaries and controlled vocabularies.

Candidates must be eligible for UK Security Clearance due to the sensitive nature of the datasets involved.