Job Description
OVERVIEW:
Location: RedQ
Department: Commerical
Entity: AirAsia Berhad
Status: Full-time
We are looking for a highly motivated and analytical candidate to join our Route Revenue team as Data Analyst. The ideal candidate will be adept at translating complex data into understandable conclusions and recommendations that drive business decisions. We strongly encourage individuals who are passionate about the aviation industry, have strong numerical & analytical skills and are passionate about new technology, automating processes & continuous improvement to apply.
What are the main responsibilities?
The core responsibilities involve the end-to-end process of collecting, analyzing, and interpreting data to deliver valuable insights. This includes developing clear reports and dashboards to effectively communicate findings. A critical aspect of the role is maintaining data quality and integrity, working closely with various teams to understand their business needs and translate them into data-driven recommendations. The Data Analyst will also be automating manual workflows and exploring cutting-edge technologies to innovate revenue management strategies.
Why is this position essential to the team?
Executing the responsibilities of this role will empower the Revenue team to make data-driven decisions critical for maximizing the airlines revenue performance. The position drives efficiency through workflow enhancements and modernizes legacy revenue management methods by leveraging innovative technology, thereby increasing route profitability.
Key Responsibilities of this role include:
Data Acquisition and Management:
Identify and gather relevant data from diverse sources (databases, APIs, spreadsheets, external platforms).
Extract data and ensure accessibility for analysis.
Design, maintain, and optimize databases and data systems for efficient storage and retrieval (including SQL).
Data Preparation and Quality Assurance:
Clean and preprocess data by handling missing values, correcting errors, removing duplicates, and transforming it into a usable format
Implement processes and checks to continuously monitor and ensure data accuracy, consistency, and reliability
Document data sources, cleaning procedures, and data quality processes
Data Analysis and Interpretation:
Apply statistical methods, exploratory data analysis techniques, and other analytical approaches to identify patterns, trends, correlations, and anomalies
Document analytical methodologies and reporting processes
Translate data insights into clear, concise, and actionable recommendations to inform strategic and operational decisions
Communication and Collaboration:
Create data visualizations (charts, graphs, dashboards, reports) to effectively communicate complex information to both technical and non-technical audiences.
Collaborate with cross-functional teams (Marketing, Sales, Operations) to understand data requirements, define key questions, and deliver relevant insights.
Revenue Management Innovation:
Opportunity Identification: Proactively analyze spanet trends, competition, internal data, and operations to discover opportunities for revenue growth, efficiency improvements, and competitive advantages in revenue management.
Strategy and Model Development: Design and propose innovative pricing strategies, forecasting models, inventory methods, and customer segmentation using advanced analytics and business understanding.
Technology Adoption: Research, evaluate, and recommend new technologies (e.g., AI/ML, analytics software, automation) to modernize revenue management.
Experimentation: Plan, execute, and analyze A/B tests and pilot programs to assess new strategies and tools before broader implementation.
Implementation Collaboration: Work closely with Data Scientists, Engineers, IT, Product, and the Revenue Management team to implement innovative concepts into scalable solutions.
Impact Measurement: Define key metrics and reporting to monitor the performance and financial impact of implemented innovations.
Continuous Learning: Keeping up-to-date with the latest advancements in data science, technology, and revenue management practices across the industry and beyond, bringing relevant external best practices in-house
Skills, Qualifications & Abilities
Required:
Minimum Bachelors degree in Economics, Statistics, Mathematics, Aviation Management, or a related fields (graduate degrees are encouraged to apply)
Demonstrated strong analytical and problem-solving abilities
Proficient in MS Excel and/or Google Sheets (including pivot tables, advanced functions, apps scripts, OWOX)
Working knowledge of SQL and data visualization tools (e.g., Tableau, Google DataStudio).
A keen interest in systems and emerging technologies
Highly detail-oriented, independent, resourceful, a self-starter, and proactive
Nice to have:
Experience using Google Workspace
Knowledge of Data Engineering & Data Science
Experience in revenue management within aviation industry or other industries
Programming languages e.g. Python,JavaScripts
WHAT YOU’LL ENJOY:
Physical Wellbeing: Key medical and insurance benefits, maternity expenses, flexible work arrangement, and health and fitness amenities.
Emotional Wellbeing: Paid time off, wellness programmes, and childcare amenities.
Financial Wellbeing: Resources relating to financial, personal skills and career growth programmes.
Allstars Specials: Free flights, unlimited discounted flights, and exclusive discounts with partners.
A unique Allstar culture like no other
OUR HIRING PROCESS:
GET TO KNOW AIRASIA:
AirAsia has been the Worlds Best Low-Cost Airline for 14 consecutive years with over 800 million guests flown. We continue to champion dreams, serve the underserved and connect the world and Asean like no other so Now Everyone Can Fly.
GET TO KNOW US:
Our story begins in 2001 with a dream, two planes and a 40 million ringgit debt. You’ll know us as the ‘Now Everyone Can Fly’ airline (if you don’t, we’re definitely older than you).
Today, we’re more than just an airline. We’re Capital A - a world-class brand that wears many hats. Our mission is to connect people and transform lives in Asean.
Above all, we’re Allstars. We believe in the unbelievable and we dare to dream. We also believe in celebrating all individuals. So no matter your culture and background or if you prefer aisle seat to window seat, we’re excited to have you onboard.
We are all different - one talent to another - that is how we rely on our differences. At AirAsia, you will be treated fairly and given all chances to be your best.We are committed to creating a diverse work environment and are proud to be an equal opportunity employer.
Search Firm Representatives - AirAsia does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place.