Manager - Data Analyst

SNV Aviation; Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

SNV Aviation invites a Manager, Data Analytics to lead analytics across airline operations in Mumbai. You will develop strategies, manage data infrastructure, and deliver actionable insights to senior leadership and cross-functional teams.

You will drive dashboards, predictive modeling, and KPI tracking to optimize safety, efficiency, and customer experience in aviation services. Strong leadership and communication are essential.

Qualifications

• 3–5 years of experience in data analytics or IT, preferably in aviation or 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.

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

Skills

SQL

Python

R

Excel

Data visualization

KPIs tracking

Stakeholder management

Education

Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, IT, Business Administration, Data

Job description

SQL Python R Language Data Analysis Cloud Applications AWS Amazon RDS GCP

Job Description – Manager – Data Analytics

Job Summary:

The 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 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.
• 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.

Required Skills and Experience:

• 3-5 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, will be preferred.
• Excellent communication and stakeholder management skills, with the ability to present complex information clearly and drive consensus.

Good to Have:

• Advanced proficiency in ETL processes, and cloud databases.
• Strong programming and data analysis skills (SQL, Python, R, Excel).

Educational Qualifications:

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