Operational Insight and Assurance Analyst
Role Overview
The analyst provides independent assurance across operational performance, data, and reporting within Aviation and Transport.
The role sits within Business Intelligence and connects frontline operations, data governance, analytical reporting, and data engineering.
Key Skills for This Role
Full Job Posting
Location and schedule
- The role is based at Heathrow Airport.
- The stated shift pattern is Monday to Friday.
Role overview
The analyst provides independent assurance across operational performance, data, and reporting within Aviation and Transport.
The role sits within Business Intelligence and connects frontline operations, data governance, analytical reporting, and data engineering.
Assurance and reporting
- Observe frontline processes and validate whether operational systems accurately record activity, timestamps, statuses, and outcomes.
- Reconcile source and target data, validate counts, identify missing or duplicate records, test rules and calculations, and manually validate samples.
- Independently reproduce Power BI, KPI, SLA, and management reporting results and verify agreed definitions and methods.
- Trace events across operations, systems, data ingestion and transformation, and final reporting; identify information that was lost, changed, misclassified, or misinterpreted.
- Use analytics to identify trends and anomalies and focus assurance work on areas with the greatest potential impact.
Documentation and collaboration
- Maintain KPI and SLA definitions, data dictionaries, business rules, calculation methodologies, data lineage, validation procedures, QA evidence, and SOPs.
- Support root-cause analysis and corrective action, working with operations, BI, and Data Engineering to address causes and improve source data quality.
- Engage with operational management, Performance, Quality, Compliance, and other stakeholders; support customer, audit, or regulatory requirements where appropriate.
Requirements
- Operational, performance, or quality data experience is essential, as are strong Excel skills and experience validating datasets or calculations.
- Strong analytical and investigative skills, attention to detail, constructive challenge, and comfort working with both frontline and technical teams are expected.
- Power BI, SQL, Microsoft Fabric, Power Query, DAX, data modelling, or data-quality framework experience is advantageous.
- Aviation, transport, or another regulated operational environment is beneficial but not essential.
Salary
- Salary is described as competitive; no pay cadence or amount is stated.
Success measures
Success includes increased confidence in Business Intelligence outputs, more reproducible reporting, fewer recurring data-quality issues, and stronger documentation.
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