Manager - Analytics

Brief Introduction about the role:

The Manager – Analytics is a core leadership role within the Data Analytics & Operations Research team in Flight Operations. The role leads the Analytics, Operations Research and Machine Learning branch, and is responsible for the end-to-end design, development, automation and governance of business-critical dashboards and analytical products that support crew planning, pilot performance measurement, fatigue risk management, fuel efficiency, sickness/absence monitoring and leadership utilisation. Beyond technical delivery, the role carries people-management responsibility – guiding and mentoring analysts, managing stakeholder expectations across Flight Ops verticals, and ensuring timely, accurate and decision-ready data solutions. This is a replacement position for the incumbent Manager who is exiting the organisation, and is critical to maintaining continuity of recurring leadership reporting and ongoing analytics programmes.

Role / Designation: Manager – Analytics (Data Analytics & Operations Research)

Location: Gurgaon

Qualifications & Experience:

• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Operations Research or a related quantitative discipline; an MBA / analytics specialisation is an added advantage.
• 6–9 years of experience in data analytics, business intelligence or operations research, including at least 2–3 years of team-leading / people-management experience.
• Proven track record of independently designing, building and owning production-grade dashboards and automated reporting solutions in a fast-paced operational environment.
• Prior experience in aviation / airline Flight Operations, crew rostering or a similarly regulated, data-intensive domain is strongly preferred.

Skills & Knowledge:

• Advanced SQL and Python for data extraction, transformation, automation and analysis.
• Strong hands-on expertise in Power BI / DAX, data modelling and visualization best practices.
• Working knowledge of Microsoft Fabric, Lakehouse / Delta tables, Snowflake and Power Automate workflow automation.
• Ability to translate operational and regulatory requirements (FDTL, fatigue, compliance, leave/sickness rules) into robust analytical logic.
• Strong stakeholder management, communication and requirement-gathering skills across leadership and cross-functional teams.
• Demonstrated people-leadership ability – mentoring analysts, setting quality/visualisation standards and running feedback loops.

Job Responsibility:

• Lead the Analytics, Operations Research and Machine Learning branch – owning dashboard development, data structuring, visualization and automation.
• Own and maintain the suite of recurring leadership dashboards and reports covering pilot performance, fuel efficiency, leadership utilization, crew sickness/absence, compliance and operational monitoring.
• Drive automation of manual reporting processes and standardize refresh ownership to reduce recurring manual effort.
• Partner with Crew Planning, Roster Escalation, Line Operations, Training and leadership stakeholders to translate business needs into analytical deliverables.
• Ensure data accuracy, validation and audit-readiness across all reporting, in line with regulatory and DGCA requirements.
• Guide and mentor junior analysts on technical tasks, data structuring and visualization standards; ensure timely, high-quality delivery.
• Support advanced initiatives – machine-learning use cases (absenteeism, fatigue, attrition, standby prediction) and integration with the wider Fabric / Lakehouse analytics stack.
• Provide decision-ready insights and ad-hoc analysis to leadership to support crew welfare, cost optimisation and operational efficiency.