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Date:  Nov 9, 2022
Company:  Wizz Air Hungary Légiközlekedési Korlátolt Felelős
Location: 

Budapest, HU, H-1103

 

WELCOME TO THE WORLD OF OPPORTUNITY!

We are committed to making sure that everyone, everywhere can benefit from travelling at the lowest prices, while keeping the social, economic and environmental impact of our operations in mind. Our strategy is built on low fares and a diverse network, supported by efficient and sustainable operations and high-quality customer service

  • WIZZ is a fresh, vibrant & contemporary brand, we are confident & not shy
  • We always strive to break out of category & think outside the box
  • Our 5 brand values lead the way:
    • Inclusivity – We collaborate together to achieve our goals
    • Positivity – We are an optimistic, happy, inspired and inspiring team
    • Dedication – We have an entrepreneurial ‘can do’ attitude: we take individual & collective ownership and are accountable for everything we do
    • Integrity – We hold ourselves to the highest possible standards of business ethics in everything we do
    • Sustainability – We strive to be the greenest choice of air travel and work hard on continuously decreasing our environmental footprint

 

 

 

Purpose of the role:

Are you looking to create something unique? You will be primarily responsible to build an advanced data analytics process for Wizz Air's Operations teams from ideation to creating a roadmap and delivery. We are looking for someone who can operate as a strong project manager, understand the business needs, and work closely with our BI team.

 

What we offer: 

  • Base salary and employee bonus scheme
  • Unlimited number of significantly discounted and confirmed seating tickets, giving access to a continuously growing network of destinations’
  • Relocation package (if applicable) – expense budget, Temporary accommodation, Administration support
  • Life insurance
  • AYCM sport pass contracting possibility
  • Instant impact, from any level of the organisation, exposure to C-suite management
  • Fast career progression, internal mobility and talent management supported by training opportunities (Wizz Academy and bespoke trainings)
  • True international and multi-cultural work environment, passionate, driven and diverse teams

 

Key responsibilities:

  • Closely liaise and align strategy and actions with the Digital Data Analytics team
  • Creation and implementation of integrated data analytics process in Ops
  • Management report preparation
  • Understand main stakeholders responsibilities, build problem statements, propose and implement resolutions
  • Building advanced forecast algorithms to match the needs of the respective areas
  • Actively seeks opportunities, embracing the ideation process to leverage the possibilities in data driven operations
  • Frequently build trends analysis, derive learnings and propose actions to Management
  • Seek for external or internal opportunities to integrate advanced data science models (eg: machine learning) in daily operations
    • Machine Learning based applications
    • Data Management, Databases
    • Data Integration Platforms, Messaging to 3rd parties (authorities, partners, airports)

 

Requirements:

  • Minimum 3-5 years of experience in MS SQL, Reporting Services, Analysis Services, Power BI, Integration Services, BizTalk or equivalent technologies.
  • Strong analytical background, advanced usage of MS Excel and other Office programs
  • Strong interpersonal skills, ability to cooperate with a variety of stakeholders, team player personality.
  • Leadership, can do attitude
  • Dedication, positivity, integrity and inclusivity.
  • Good project management skills.
  • Strong sense of ownership and accountability for enterprise-level Data & Analytics solution
  • Ability to live and work in Budapest, Hungary
  • Fluent spoken and written English.

 

Unfortunately, due to the volume of applications we receive we are unable to provide feedback to you at this stage, should your application not meet the requirements. Thank you for your understanding.

 

 

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