Capacity Planning & Data Analyst Location: Heathrow Airport Salary: £35,000pa Working Format: Hybrid working 3 days in the office and 2 days at home Contract Type: Permanent Benefits: 28 days annual leave (plus bank holidays), Medical Cover, Wellbeing membership, Pension Scheme We are seeking a highly motivated and detail-oriented in this role, you will work closely with Data Engineers and Power Platform Developers to drive operational efficiency, streamline processes, and optimize business performance. As a Capacity Planning & Data Analyst, you will have the opportunity to work with cutting-edge technologies and help ensure the smooth operation of airport logistics, improving the travel experience for millions of passengers globally.
Role Responsibilities: - Assist in the development and maintenance of capacity models for baggage handling systems to ensure optimal performance during peak and off-peak periods.
- Monitor system performance data to identify potential capacity constraints and recommend corrective actions.
- Collaborate with senior planners to adjust operational plans based on anticipated passenger volumes and baggage loads.
- Collect, clean, and validate operational data from various sources, including baggage handling systems, airport traffic reports, and other relevant databases.
- Conduct data analysis to identify trends, inefficiencies, and areas for improvement in the baggage handling process.
- Produce regular and ad-hoc reports, visualizations, and dashboards to communicate key insights to stakeholders.
- Assist in the preparation of operational forecasts and scenario analysis to support decision-making.
- Provide data-driven insights to support the planning of maintenance schedules, staff allocation, and resource utilization.
- Work closely with the operations team to ensure that data analysis aligns with on-the-ground realities.
- Support initiatives to improve data quality, collection processes, and analytical tools.
- Participate in cross-functional projects aimed at enhancing the performance and capacity of the baggage handling system.
Role Qualifications and Skills: - Bachelor s degree in a relevant field such as Operations Research, Data Science, Industrial Engineering, Mathematics, or a related discipline.
- Previous experience or internships in data analysis, capacity planning, logistics, or operations management is a plus.
- Familiarity with baggage handling systems, airport operations, or material handling systems is desirable but not essential.
- Proficiency in data analysis tools and software such as Excel, SQL, Python, or R.
- Experience with data visualization tools (e.g., Power BI, Tableau) is a plus.
- Basic understanding of capacity planning methodologies and principles.
- Strong problem-solving skills with the ability to analyze complex data sets and translate findings into actionable insights.
- Attention to detail and a commitment to data accuracy.
- Ability to communicate technical information effectively to both technical and non-technical stakeholders.
- Strong written and verbal communication skills.
- Proactive, with a willingness to learn and take on new challenges.
- Ability to work collaboratively in a team environment.
- Strong organizational skills and the ability to manage multiple tasks simultaneously.
Benefits: - 28 days annual leave (excluding public holidays)
- Bupa Medical Cover
- YuLife Wellbeing membership with fast access to GP appointments, health promotion, and daily quests to earn Yucoins that can be exchanged for shopping vouchers.
- Perkbox Includes free eye tests at Specsavers, discounts on glasses, free cinema vouchers, a weekly free coffee from Nero, and hundreds of savings on day-to-day shopping and activities.
- A challenging work environment with opportunities for career progression.
- Cycle to work scheme.
- Pension with Aviva.
- Access to Achievers, an award-winning recognition platform to inspire and acknowledge your coworkers, where points can be exchanged for various goods and discounts.
