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Executive - IT Delivery (Digital & Big Data - Principal Data Analyst)

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Date: 12-Jan-2022

Location: Sepang, 10, MY, 64000

Company: Malaysia Airports Holdings Berhad

Job Description

POSITION GENERAL SUMMARY

  • Assist in organize analytics function and manage Business Data Analyst team. Implement tools and strategies to translate raw data into valuable business insights. Involve in system performance analysis for continuous improvement and problem prevention

ESSENTIAL POSITION FUNCTIONS

 

  • Business and operational data discovery and correlation analysis.
  • Descriptive, diagnostic, predictive & prescriptive analysis for airport operations
  • Cross functional analysis
  • Facilitate and support business and operational units across the organization in developing basic analytics capabilities.
  • Drive data exploration using statistical tools and business acumen to support operational data-driven decision making.
  • Facilitate data cleansing, refining and data quality works as basis for airport operation analytics. Supports master data management work.
  • Facilitate in carrying out analytical reports to support business intelligence of the airport operation.
  • Design requirements with task and workflow analysis, document analysis, requirements workshops, surveys, site visits, business process descriptions, use cases, scenarios, and business analysis.
  • Provide solutions and discuss execution of plans with airport operation units.
  • Interpret customer operation needs and translate them into application and operational requirements.

 

Key Challenges

  • Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
  • Clear understanding of the business to effectively use the vast amount of data available.
     

Working Relationship

  • WHO
  • FROM
  • PURPOSE
  • Relevant business and operational units
  • Other Subsidiaries
  • Support services to the subsidiaries i.e. Users
  • Vendors/Service provider
  • External Company
  • 3rd Level Support
  • Other Unit
  • ITD
  • O&M and project matters
  • Other Agencies in airport
  • External Agencies
  • Provide integration between other agencies in airport for data exchange and information for the benefit of operations

 

Dimension

Competencies

Change and Innovate - Continuous Improvement
Courage to Excel - Courage
Change and Innovate - Innovation
Commit to Win - Business Acumen
Coach and Nurture Talent - Continuous Learning
Courage to Excel - Managing Work
Courage to Excel - Work Standards
Customer Centric - Customer Orientation
Communicate and Collaborate - Communication
Communicate and Collaborate - Collaborating

Skills

  • Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
  • Strong SQL skills, reasoning skills, business intelligence and ability to perform effective querying involving multiple tables and subqueries.
  • Experience and knowledge of statistical modelling techniques: Logistic regression, log-linear regression, variable selection, etc. Experience writing advanced code statements, models, and macros.
  • Experience working with and creating databases and dashboards using all relevant data to inform decisions.
  • Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
  • Excellent communication skills
  • Analytical skills and strong organizational abilities
  • Attention to detail
  • Problem-solving aptitude
     

Relevant Industries

External        

  • Degree with minimum 2 years relevant experience in Executive role

Education

External        

  • Recognise degree preferably with specialization in Data Science/ Data Management, Computer Science, Statistics, Air Transport or Economics
  • Master degree would be an added advantage

Additional Information

Open for Malaysian citizen only. 
Please be reminded that only online application will be entertained. 
Applications should reach us no later than 19 January 2022. 
Only shortlisted candidates will be notified. 


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