Capacity Planning & Data Analyst Full Time

Hounslow, London
Damicor Ltd
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.