Deputy General Manager

Akasa Air; Mumbai; On-site; INR 300,000 - 600,000; Full time

Job summary

Akasa Air seeks a senior analytics leader to own end-to-end analytics delivery, from data exploration to executive insights. You will mentor analysts, shape enterprise data warehouses, and design semantic models supporting cross-functional decisions.

You will connect multi-source data streams, collaborate with business teams, and infuse AI into analytics workflows to move from reporting to predictive capabilities.

Qualifications

• Strong SQL coding and data querying skills.
• Proficiency in Python scripting for data workflows.
• Experience designing scalable cloud-based data architectures.
• Ability to model data for enterprise data warehouses and marts.

Responsibilities

• Lead end-to-end analytics delivery from data exploration to executive insights.
• Mentor and upscale data analysts across analytics lifecycle.
• Define enterprise data warehouses and data marts schemas for large data volumes.
• Connect multiple data streams to derive cross-functional insights for leadership.
• Infuse AI into analytics workflows for predictive and prescriptive insights.
• Develop ML pipelines for time-series forecasting and anomaly detection.

Skills

SQL

Python

Cloud architecture

Data modeling

Job description

• End-to-End Analytics Delivery: Build, maintain and manage the complete data analytics lifecycle - from exploring raw databases and querying production endpoints to designing semantic analytics schemas and launching executive-ready data insights.
• Team Mentorship: Direct, upscale, and manage a team of data analysts across the entire data analytics lifecycle, ensuring best technical practices in SQL coding, Python scripting, and cloud architecture.
• Data Architecture: Lead the designing and structuring of enterprise Data Warehouses and Data Marts, defining of optimal schemas that work with large data volumes and evolving business requirements.

Cross-Functional Business Collaboration

• Cross-Domain Data Correlation: Connect separate airline data streams to identify how operational trends correlate with commercial performance and financial metrics. You will design the semantic data modelling layer, connecting multi-source schemas to deliver unified, cross-functional insights for senior leadership.
• Analytical Enablement & Partnership: Act as the primary technical bridge for business functions. Partner with business teams to understand their requirements, map their needs to backend tables, and provide the clean datasets and data models they need to run their business strategies.
• AI & Advanced Analytics Integration: Infuse AI into traditional analytics workflows, steering your team away from purely reactive reporting toward proactive, predictive, and prescriptive cross-functional data analysis.
• Machine Learning Pipelines: Build and deploy time-series forecasting, predictive behavioural modelling, and anomaly detection scripts directly into analytical workflows to transition the airline from static reporting to predictive alerts.
• Advanced Analytics & AI Products: Spearhead the development of modern analytics layers, including Robotic Process Automation (RPA) to streamline high-volume tasks, and AI Agents featuring conversational interfaces for standardized KPI definitions and customizable do-it-yourself reporting