Operations Data Analyst Intern — Hybrid, Flexible Hours

Airbus

Brize Norton

On-site

GBP 22,000 - 27,000

Part time

5 days ago
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Benefits offered by this job

Hybrid working options
Flexible hours
25 days holiday plus bank holidays

Job summary

Airbus is seeking an Operations Analyst Intern at the Atlas Integrated Operations Centre (AIOC) to transform operational and engineering data into actionable insights. This role focuses on performance monitoring, data manipulation and reporting to maximise aircraft availability and mission readiness.

You will develop hands-on skills in Power BI, SQL and Python while collaborating with Maintenance Planners, Operations and Logistics personnel in a live control room environment.

Qualifications

  • Undergraduate students only for the duration of the placement.
  • Penultimate year preferred.
  • Studying Data Analytics, BI, CS, IS, Statistics, Mathematics or Business Administration.

Responsibilities

  • Track and analyze RAF A400M fleet metrics, availability, and maintenance logs.
  • Build and update dashboards to track fleet health and KPIs.
  • Manipulate and merge large datasets from engineering, military and logistics systems.
  • Automate repetitive data collection and reporting workflows.
  • Document data workflows and SOPs for the operations team.
  • Collaborate with Maintenance Planners, Operations and Logistics Personnel to improve decision-making.

Skills

Power BI
SQL
Python
Advanced Excel
Data analysis
Dashboard development
Time management
Presentation skills
Stakeholder communication

Education

Undergraduate student

Tools

Power BI
SQL
Python
Excel
Google Workspace
Data visualization

Job description

Airbus is seeking an Operations Analyst Intern at the Atlas Integrated Operations Centre (AIOC) to transform operational and engineering data into actionable insights. This role focuses on performance monitoring, data manipulation and reporting to maximise aircraft availability and mission readiness.

You will develop hands-on skills in Power BI, SQL and Python while collaborating with Maintenance Planners, Operations and Logistics personnel in a live control room environment.

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