GMR Hyderabad International Airport Ltd Hiring for Data Analyst at Delhi Cantonment, Delhi, India Full Time

As the air traffic is increasing rapidly year after year, the traffic congestion in and around the Airport is also increasing, which requires advance planning to resolve them. Besides, with the increase of traffic, the nature of threats becoming more sophisticated by the day, the pressure on aviation security is also increasing tremendously. With the increased pressure on security establishment, Aviation security is now increasingly relying on new technology adoption such as ATRS, Remote Cabin Baggage and Centralized registered baggage concept to ensure a seamless security process. Further, in line with global trends, the government has embarked on a major implementation of biometric technology and connected airports across the country through digi yatra initiatives and also implementation of Body Scanners, Drone detection system, Advanced Imaging Technology, Explosive Trace Detection, Suspect Detection Systems and behavioral analysis etc. This not only enhance security of airport but also helps to reduce the workload of individual security staff.

In order to implement all these initiatives in better way, this role is essentially required to collect the data of best practices being followed at other airports in across the world and analyze, interpret and present the data with pros and cons of the solution so that a clear decision can be taken without wasting much amount of time.

ORGANISATION CHART

Key Accountabilities

Data Analysis and Reporting – Identify trends and patterns in security screening data (e.g., wait times, prohibited item detection rates etc.)

• Develop clear and concise reports and presentations that communicate data analysis findings
• Number of actionable insights identified per month related to security effectiveness, passenger experience, or operational efficiency.
• Level of stakeholders’ understanding of reports, measured through surveys or feedback sessions

Additional Considerations – Passenger Experience , Operational Efficiency Decrease in average passenger wait time at security checkpoints

Predictive Analytics and Threat Detection – Develop and implement data-driven models to identify suspicious travel patterns or potential security threats

Number of security incidents prevented based on insights from predictive models DigiYatra Analysis for Enhanced Security and Passenger Experience – Collaborate with stakeholders (security operations, IT, DigiYatra Foundation) to develop strategies for optimizing passenger flow and security checks using DigiYatra data. This may involve analyzing passenger dwell times at security checkpoints based on DigiYatra usage. Reduction in passenger processing time at security checkpoints through DigiYatra integration. Baggage Analysis for Improved Security Screening – Analyze data from baggage screening equipment (X-ray scanners, explosive detection systems) to identify trends and patterns in suspicious items flagged for further inspection.

Improvement in the detection rate of prohibited or suspicious items in baggage based on data analysis

Analysing Baggage per Passenger Trend – Trends in the number of bags carried out by passengers

This will be calculated over a chosen timeframe.

Self-Service Baggage Drop Analysis (SSBD) – Identify trends and patterns that affect SSBD efficiency and passenger experience.

• Translate findings into clear reports and presentations for stakeholders in security operations and passenger services

The efficiency of the SSBD process by tracking the average time it takes for a passenger to complete bag drop using the kiosk. ANPR Data Analysis and Security Assessment – Analyzing data collected from ANPR systems installed at airport entry/exit points. This data includes license plate numbers, timestamps

• Enhance security by identifying vehicles of interest entering or exiting the airport
• Analyzing the traffic footfall

KEY ACCOUNTABILITIES – Additional Details

Incident Analysis – Analyse landside incident data to identify trends, root causes, and recurring issues.

• Utilize data visualization tools to present findings in a clear and concise manner
• Conduct in-depth analysis of high-risk or complex incidents
• Work with stakeholders to implement preventive measures such as improved procedures, training programs, or infrastructure upgrades
• Prepare regular reports summarizing landside incident trends, risks, and mitigation strategies

Complaint Analysis – Analyze security complaint data to identify trends, recurring issues, and areas where passenger experience can be improved

• Utilize data visualization tools to present findings in a clear and concise manner, highlighting common themes and areas of concern.
• Conduct in-depth analysis of high-volume or complex complaints to understand root causes
• Timely analysis and reporting of landside incidents
• Measurable decrease in the number and severity of landside incidents
• Number of data-driven recommendations implemented to prevent future incidents.

Compliance and Regulatory Reporting – Ensure data collection and analysis practices comply with relevant security regulations and data privacy laws.

Zero non-compliance incidents related to data handling practices within a specific timeframe

Perimeter Area Security Analysis – Analyze data from perimeter security systems (e.g., intrusion detection sensors, video surveillance) to identify potential breaches or vulnerabilities.

Collaborate with security personnel and engineering teams to recommend improvements to perimeter security measures based on data insights.

Reduction in the number of perimeter security breach attempts or intrusions detected through data analysis

CCTV Camera Analysis and Optimization – Utilize CCTV footage to analyze and identify incidents, understand their causes, and recommend improvements for airport security and safety.

• Incident Detection Rate
• Incident Cause Classification Accuracy
• Security Improvement Implementation Rate
• Reduction in Repeat Incidents

AEP and Cargo VMS Pass Analysis – Collaborate with the Cargo Pass team to identify and access relevant data sources.

• Analyse cargo pass data to identify trends, patterns, and areas for improvement in efficiency, revenue, and customer satisfaction.

Measurable reduction in processing times, costs, or errors within Cargo Pass

Xovis System Data Analysis – Analyze Xovis data on passenger flow patterns and wait times to identify areas for security screening process optimization.

• Collaborate with security operations to develop strategies for utilizing real-time passenger flow data from Xovis to improve security checkpoint efficiency

Reduction in passenger wait times at security checkpoints based on insights from Xovis data (e.g., identifying bottlenecks and adjusting resource allocation)

Data Acquisition and Management – Gather accurate and complete data from security screening equipment, passenger flow monitoring systems, and incident reports

Percentage of data points with missing or inaccurate information

Ensure all incidents/accidents are analysed timely and reported to Management in respect of all Airports Terminals

No of incidents/accidents analysed and intimated

EXTERNAL INTERACTIONS

External

MoCA, MHA

CISF, NSG/SPG

Immigration

Customs

Delhi Police

Intelligence Bureau

RAXA, Airline, CTOS

INTERNAL INTERACTIONS

Terminal Operations

P&E

IT

Commercial

Procurement, Finance, SPG

GCM/BCM/CEO office

ALL Other GMR Indian Airport

FINANCIAL DIMENSIONS

Other Dimensions

EDUCATION QUALIFICATIONS

• Graduate- B. Tech in Computer Science and Engineering (Spl. in Data Analytics)
• Exposure to modern gadgets used in Airport Security

Relevant Experience

Minimum 5 years of experience

COMPETENCIES

• Entrepreneurship
• Capability Building
• Social Awareness
• Planning & Decision Making
• Execution & Results
• Strategic Orientation
• Problem Solving & Analytical Thinking
• Networking
• Personal Effectiveness
• Teamwork & Interpersonal influence
• Stakeholder Focus