Assistant Manager - Data Analyst

Data Analyst

Job Summary:

The Assistant Manager - Data Analytics will support the data analytics function in driving revenue optimization, operational efficiency, enhancing customer experience, and enabling data-driven decision-making across the airline. This role involves hands-on data analysis, reporting, and dashboard development, while collaborating with cross-functional teams to generate actionable insights.

The position requires strong analytical and technical skills, a problem-solving mindset, and the ability to translate data into meaningful business insights. The role contributes to ongoing analytics initiatives and continuous improvement efforts.

Key Responsibilities:

• Perform data collection, cleaning, processing, and analysis for aviation operations, safety, compliance, and commercial functions.
• Develop and maintain dashboards, reports, and visualizations to track KPIs and support business decision-making.
• Conduct exploratory data analysis to identify trends, anomalies, and improvement opportunities.
• Support predictive analytics and statistical analysis initiatives under guidance of senior team members.
• Work with cross-functional teams (operations, finance, commercial) to understand data requirements and deliver insights.
• Assist in the automation and optimization of reporting processes and data workflows.
• Ensure accuracy, consistency, and integrity of data used in reporting and analysis.
• Translate analytical findings into clear, actionable insights for stakeholders.
• Stay updated on analytics tools, techniques, and aviation industry trends.
• Contribute to documentation, knowledge sharing, and standardization of processes within the team.

Required Skills and Experience:

• 2-5 years of experience in data analytics, business intelligence, or related roles.
• Proficiency in data analysis and programming tools such as SQL and Python/R
• Hands-on experience in creating dashboards.
• Understanding of ETL processes, working with structured/unstructured data and data transformation.
• Basic knowledge of statistical analysis and data modeling techniques.
• Strong analytical thinking and problem-solving skills.
• Good communication skills, with the ability to explain insights to non-technical stakeholders.
• Exposure to cloud data platforms (e.g., AWS, Azure, GCP).
• Initial experience with predictive analytics or machine learning techniques.

Good to Have:

• Strong proficiency in SQL, Python/R, and data visualization tools (Tableau, Power BI, etc.).
• Experience with statistical modeling, machine learning, and data mining techniques.
• Familiarity with customer data platforms (CDPs) and CRM tools.

Educational Qualifications:

Bachelor’s or Master’s degree in Statistics, Economics, Data Science, or a related field.

Location: Akasa Air Head Office - Mumbai