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Lead Data Analyst Job Opening In Sepang – Now Hiring AirAsia


Job description

Job Description

Group‌ ‌ICT - Data‌ ‌comes‌ ‌under‌ ‌AirAsia‌ ‌Aviation ‌which‌ ‌is‌ ‌responsible‌ ‌for‌ ‌spearheading‌ ‌digital‌ ‌transformation‌ ‌ across‌ ‌AirAsia.‌ ‌Group‌ ‌ICT - Data‌ ‌works‌ ‌on‌ ‌business‌ ‌and‌ ‌operations‌ ‌problems‌ ‌across‌ ‌all‌ ‌entities‌ ‌in‌ ‌the‌ ‌AirAsia‌ ‌Group.‌ ‌Key‌ ‌problems‌ ‌we‌ ‌solve‌ ‌include‌ ‌improving‌ ‌revenue‌ ‌and‌ ‌reducing‌ ‌costs‌ ‌through‌ ‌large-scale‌ ‌data‌ ‌ federation,‌ ‌predictive‌ ‌and‌ ‌prescriptive‌ ‌analytics,‌ ‌state-of-the-art‌ ‌machine/deep‌ ‌learning,‌ ‌intelligent‌ ‌ scheduling‌ ‌and‌ ‌optimization,‌ ‌and‌ ‌other‌ ‌advanced‌ ‌techniques.‌ ‌We are‌ ‌also‌ ‌responsible‌ ‌for‌ ‌the‌ ‌data‌ ‌lakes‌ ‌across‌ ‌all‌ ‌our‌ ‌businesses,‌ ‌deriving‌ ‌insights‌ ‌and‌ ‌value‌ ‌from‌ ‌them‌ ‌and‌ ‌sharing‌ ‌them‌ ‌back‌ ‌with‌ ‌the‌ ‌businesses.‌ ‌In‌ ‌addition,‌ ‌Group‌ ‌Data‌ ‌also‌ ‌actively‌ ‌participates‌ ‌in‌ ‌innovation‌ ‌and‌ ‌training‌ ‌in‌ ‌the‌ ‌Outclass‌ ‌as‌ ‌well‌ ‌as‌ ‌collaboration‌ ‌with‌ ‌strategic‌ ‌partners‌ ‌like‌ ‌Google,‌ ‌GE,‌ ‌Airbus,‌ ‌and‌ ‌academia.‌

What You’ll Do:

  • Partner with business and project leaders to deeply understand their goals, define critical metrics and KPIs, and deliver insights that drive action.

  • Analyze complex datasets to uncover trends, performance drivers, and opportunities to improve efficiency and productivity.

  • Translate business needs into clear documentation, requirements, and testing plans that support data-driven initiatives.

  • Build and maintain interactive dashboards and visualizations using Looker Studio, Tableau, or similar BI tools to empower self-service analytics and data storytelling.

  • Collaborate with cross-functional teams including Product, Business, and Analytics to resolve data issues and support transformation projects.

  • Manage‌ ‌external‌ ‌technical‌ ‌communication‌ ‌with‌ ‌partners‌ ‌and‌ ‌vendors.‌ ‌

  • Keep‌ ‌up‌ ‌with‌ ‌current‌ ‌technical‌ ‌and‌ ‌industry‌ ‌developments.‌ ‌

  • Contribute to our AI innovation journey by experimenting with prompt tuning and optimising for Gemini-based applications.

  • Who You Are:

  • BS/MS/PhD in Business, IT, Mathematics, Science, Engineering, or a related field.

  • Up to 12 years of relevant experience beyond your first degree.

  • Skilled at translating complex analyses into simple, business-friendly language.

  • Strong hands-on experience with SQL and a solid understanding of statistics.

  • Proficient in data visualization tools such as Looker Studio, Tableau, or similar platforms.

  • Open to using design thinking methods to frame problems and solutions.

  • Comfortable working under pressure, navigating change, and balancing speed with reliability and interpretability.

  • Familiarity with prompt tuning for generative AI applications (, Gemini)


  • 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 are committed to creating a diverse work environment and are proud to be an equal opportunity employer.

    Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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    Unlock Your Lead Data Potential: Insight & Career Growth Guide


    Real-time Lead Data Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Lead Data in Sepang, Malaysia, highlighting market share and opportunities for professionals in Lead Data roles.

    7795 Jobs in Malaysia
    7795
    188 Jobs in Sepang
    188
    Download Lead Data Jobs Trends in Sepang and Malaysia

    Are You Looking for Lead Data Analyst Job?

    Great news! is currently hiring and seeking a Lead Data Analyst to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at AirAsia adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Malaysia laws and regulations

    What Is the Average Salary Range for Lead Data Analyst Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Sepang. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Lead Data Analyst?

    Key qualifications for Lead Data Analyst typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

    How Can I Improve My Chances of Getting Hired for Lead Data Analyst?

    To improve your chances of getting hired for Lead Data Analyst, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    Interview Tips for Lead Data Analyst Job Success

    AirAsia interview tips for Lead Data Analyst

    Here are some tips to help you prepare for and ace your Lead Data Analyst job interview:

    Before the Interview:

    Research: Learn about the AirAsia's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Lead Data Analyst interview at AirAsia, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the AirAsia's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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