Actively Hiring
IN
Manager - Analytics
Indigo Airlines
Skills:
Data Science
Python
SQL
Statistics
Machine Learning
Power BI
Job Description
Job Title: Manager - Analytics
Company: Indigo Airlines
Job Category: Data Science
Roles & Responsibilities:
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)
* 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.
Work Location: Haryana, India
Availability: Full time
Requirements
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.
* 2 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.
Key Skills: Data Science, Python, SQL, Statistics, Machine Learning, Power BI
Salary: Not disclosed