Senior Manager - Data Analytics

SNV Aviation; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

SNV Aviation seeks a Senior Manager, Data Analytics to optimize airline operations, improve safety, and enhance customer experience through advanced data analysis and reporting.

The role leads analytics strategy, data infrastructure, and actionable insights for senior leadership and cross-functional teams, fostering a data-driven culture and continuous improvement.

Qualifications

• 5+ years in data analytics or IT, preferably in aviation or related fields.
• Strong ETL expertise and cloud data stack.
• Proficient in SQL, Python or R, and Excel for data analysis.

Responsibilities

• Data collection, processing, analysis, and reporting for aviation operations, safety, compliance, and commercial activities.
• Develop and implement analytics strategies aligned with KPIs.
• Design, build, and maintain dashboards, reports, and visualization tools for decision-making.

Skills

SQL

Python

R

Excel

ETL

Cloud Databases

Data Visualization

Dashboards

KPI Tracking

Predictive Analytics

Machine Learning

Statistical Modeling

Communication

Stakeholder Management

Aviation Operations

Education

Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Information Technology, Business Administration, Data, or related field

Tools

SQL-based tools

Python libraries

R statistical packages

Excel advanced

Cloud databases (e.g., BigQuery, Redshift)

Job description

Data Analytics Business Analysis Prediction modelling-Advanced data mining and visu Statistical Analysis General Aviation Data Architecture Data Architecture & ETL processes Data Modelling Cloud Applications

Job Description

Job Summary

The Senior Manager, Data Analytics in Aviation in Data analytics function will be responsible to optimize airline operations, enhance safety and customer experience, and drive business growth through advanced data analysis and reporting. This role is responsible for developing and implementing analytics strategies, managing data infrastructure, and delivering actionable insights to senior leadership and cross-functional teams. The position requires strong technical expertise, aviation industry knowledge, and proven leadership skills to foster a data-driven culture and continuous improvement.

Key Responsibilities

• Data collection, processing, analysis, and reporting for aviation operations, safety, compliance, and commercial activities.


• Develop and implement analytics strategies and initiatives aligned with organizational goals and KPIs.


• Design, build, and maintain dashboards, reports, and visualization tools to support decision-making and monitor key performance indicators (KPIs).


• Conduct advanced data analysis, predictive modeling, and machine learning to identify trends, risks, and opportunities for operational improvement.


• Collaborate with senior management, finance, and cross-functional teams to define requirements and deliver actionable business insights.


• Drive the adoption of new data tools, systems, and methodologies to streamline processes and improve data-driven decision-making.


• Present findings, strategic recommendations, and business insights to stakeholders at all levels, ensuring clarity for both technical and non-technical audiences.


• Ensure data integrity, security, and compliance with industry regulations and best practices.


• Foster a culture of innovation, continuous improvement, and professional development within the analytics team.


• Stay abreast of industry trends, emerging technologies, and best practices in data analytics and aviation operations.

Required Skills and Experience

• 5+ years of experience in data analytics or information technology, preferably in aviation or a related industry.


• Advanced proficiency in ETL processes, and cloud databases.


• Strong programming and data analysis skills (SQL, Python, R, Excel).


• Expertise in data visualization, dashboard design, and KPI tracking.


• Experience with predictive analytics, machine learning, and statistical modeling relevant to aviation operations.


• Excellent communication and stakeholder management skills, with the ability to present complex information clearly and drive consensus.


• Knowledge of aviation operations, safety standards, and regulatory requirements is highly desirable.

Good to Have

• 5+ yrs of experience with predictive analytics, machine learning, and statistical modeling relevant to aviation operations.

Educational Qualifications

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Information Technology, Business Administration, Data, or a related field.