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Sr Associate - CC Productivity

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Onsite

Sr Associate - CC Productivity

Air India

Sr Associate - CC Productivity

Skills

Data MiningPythonData AnalysisPower BI

2 months ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

4 September 2026

What they need


Job Purpose

To support the Assistant Manager Productivity and DOPS Control in monitoring day of operations crew deployment through data analysis, trend tracking and predictive insight. To track standby utilisation, roster stability, crew fairness and fatigue indicators, and to identify productivity and rationalisation opportunities that support informed operational decision making.

Key Accountabilities
Data Quality and Integration
Collect and validate day of operations data from diverse sources, ensuring accuracy, completeness and reliability throughout the process.
Integrate and manage real time data feeds from multiple sources into a centralised database and dashboard environment for up to date analysis.
Ensure data accuracy, consistency and integrity are maintained throughout the analysis process.

Roster Stability Monitoring
Monitor roster stability and highlight disruption trends for proactive action.

Analyze operational data to identify patterns, trends, and actionable insights.

Crew Fatigue Monitoring
Monitor crew fatigue indicators and FDTL linked data points, identifying patterns that warrant corrective action.
Support periodic fatigue risk reviews with data driven insight to flag recurring or high risk patterns.

Crew Fairness Analysis
Analyze crew deployment and duty allocation data to identify fairness gaps across standby, flying hours and duty distribution.
Support periodic fairness reviews with data driven insight highlighting deviation from equitable distribution.

Standby Utilization Analysis
Track and analyses standby deployment and utilization trends across bases, flagging inefficiencies for corrective action.
Support optimization of standby planning through predictive insight on utilization patterns.

Productivity and Rationalization Analysis
Analyze crew productivity and utilization data to identify optimization opportunities.

Monitor productivity trends and flag operational anomalies for review.

Reporting and Dashboard Development
Develop and maintain dashboards and reports covering standby utilization, roster stability, fairness, fatigue and productivity indicators.
Develop comprehensive reports and interactive dashboards to effectively communicate analytical findings.
Redesign template reports to improve work efficiency and enhance insight.

Process Automation
Automate reporting and data processes using Excel, VBA, and Python.

Support operational analytics initiatives and cross-functional data projects.

Stakeholder Communication
Prepare and present periodic operational reports and dashboards.

Provide data-driven insights and recommendations to support decision making.

Undertake additional responsibilities and special projects as assigned.

Skills Required
Advanced Excel and VBA proficiency

working knowledge of Python for data analysis and automation
Strong statistical and data mining ability to identify trends, patterns and operational risk
Dashboard and reporting tool proficiency (e.g. Power BI or equivalent)
Working knowledge of CAE (rostering, hosting system) and day of operations data structures
Understanding of FDTL regulations and fatigue and fairness principles in crew deployment
Clear written and verbal communication for stakeholder presentations
Attention to detail and data integrity discipline

Educational and Experience Requirements
Minimum Education requirements - Masters or Bachelors degree or related field experience in an airline operational environment
Minimum Experience 5 years of experience in regulatory documents and record keeping.
Desired Extensive knowledge of the Cabin crew division

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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