Introduction
You will transform raw data into actionable insights for property portfolios, managed databases, build performance dashboards, and translate complex metrics into strategy. Core responsibilities include validating data, creating reporting models, and identifying investment or lifecycle trends.
About the Employer
Join the team at Birmingham Airport and start your career as a Data Analyst Apprentice!
What You'll Do
- Data management: Collect, cleanse, validate, and maintain asset data across enterprise databases and investment platforms, ensuring data accuracy, integrity, and accessibility for business decision‑making.
- Reporting & visualisation: Develop and maintain dashboards and performance reports to monitor Key Performance Indicators (KPIs), asset health, lifecycle costs, and operational performance. Analyse trends and present actionable insights to support asset management objectives and continuous improvement initiatives.
- Strategic planning: Provide data‑driven analysis and recommendations to inform maintenance strategies, investment planning, decarbonisation programmes, and long‑term asset performance objectives. Support strategic decision‑making through forecasting, scenario modelling, and performance evaluation.
- Stakeholder engagement: Translate complex technical and analytical findings into clear, concise, and jargon‑free reports and presentations for both technical and non‑technical audiences. Collaborate with internal and external stakeholders to understand business requirements and communicate insights that drive informed decision‑making.
Training Outcome
90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average.
Skills Required
- IT skills
Course Information
Course: Data analyst (level 4)
Level: 4
Route: Digital
Apprenticeship Level: Higher
Working Arrangements
Working Week: Days and shifts to be confirmed.
Expected Duration: 1 Year 6 Months
Training Provider: QA LIMITED
Contact Details:
Birmingham Airport Limited Recruitment Team
