Operations Data Analyst

Overview

As we continue to drive operational excellence, safety, and efficiency in a dynamic regional environment, we're seeking a Data Analyst to become the business expert and system owner for our core operations platform, N-Ops & Crew (N-OC). This role is central to modernising processes, automating workflows, and leveraging data to support safe, compliant, and cost-effective operations.

• Serve as the primary business owner and expert for the N-OC system (NAVBLUE), collaborating closely with the supplier on configuration, enhancements, troubleshooting, and roadmap development.
• Train, upskill, and empower Operations colleagues to fully utilise N-OC, driving best-practice adoption and system maturity across the team.
• Partner with the Planning Analytics team (using IBM Planning Analytics) to guarantee data accuracy, integrity, and seamless flow from operational sources into management dashboards, board reports, and executive insights.
• Develop, refine, and deliver critical KPIs, statistics, and regulatory reports (CAA/EASA compliance), with a strong emphasis on crew resource forecasting that adheres to Flight Time Limitations (FTL) rules and Loganair's specific BALPA scheduling agreement.
• Lead advanced crew resource analysis and risk forecasting:
  • Model flying requirements against crew availability, proactively highlighting risks to safe operations.
  • Factor in leavers, new joiners, training pipeline, annual leave, sickness, absence, customer-specific experience requirements, fleet types, qualifications, and compliance with FTL/BALPA rules.
  • Identify inefficiencies and deliver actionable recommendations to Operations management.
  • Enhance training tracking for better monitoring, risk mitigation, and integration into crew forecasts.
  • Provide accurate data inputs/outputs to support recruitment decisions.
• Conduct thorough delay and disruption root cause analysis (Ground Handling, Airport, Crew, Technical), evaluating impacts on passengers, positionings of flights, standby aircraft/crew utilisation, and overall network resilience.
• Produce and improve other operational KPIs and statistics, including crew/trainer utilisation factoring absence, productivity, regulatory and customer compliance, board reports, and roster equality and fairness under BALPA agreements.
• Develop training reporting focused on efficiency and full compliance with employment contracts and union (BALPA) agreements.
• Advance safety and compliance trend analysis, shifting to automated insights from large datasets, improving on current approaches of manual sampling.
• Play a pivotal role in key Operations and business-wide projects, providing data expertise and cross-departmental liaison — including initiatives to eliminate waste ('War on Waste'), modernise and automate legacy systems and processes, and explore AI-driven efficiencies.

• Solid analytical skills with expertise in data manipulation, forecasting, root cause analysis, KPI development, and process improvement.
• Proficiency in SQL, advanced Excel, and data visualisation/reporting tools (experience with IBM Planning Analytics highly advantageous).
• Working knowledge of complex crew/operations systems (direct experience with N-OC, NAVBLUE platforms, or similar like Jeppesen is a major plus).
• Strong understanding of aviation operations, with emphasis on crew rostering, utilisation, FTL regulations, and union/BALPA scheduling agreements in a UK context.
• Ability to translate complex business/operational needs into data-driven insights and recommendations.
• Excellent communication and training skills to engage colleagues and present to senior stakeholders.
• Proactive, detail-oriented, and resilient in a fast-paced, safety-critical regional airline environment.

This role requires demonstration of company values and behaviours at all times, encouraging others to do so, and so makes a productive contribution to the positive business culture.

• Data Analyst experience (ideally 3+ years) in a complex operational environment; aviation/airline background strongly preferred, particularly in crew planning, rostering, or operations.
• Desirable:
  • Knowledge of UK/European aviation regulations (CAA, EASA) related to operations, crew, safety, punctuality, and compliance.
  • Experience with automation, process optimisation (e.g., Lean), or early AI applications in operations.
  • Familiarity with Python/R for advanced analytics.