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Tue Feb 13 2024
Lufthansa Group (zeroG)Logo

Business Data Analytics Consultant - Project Manager (m/f/d)

Lufthansa Group (zeroG)

Germany (Frankfurt am Main) On-site

English

Employment Type: Full-time
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Job Description

What work will you do? In this role, you will:

  • Take leadership of projects, delegate tasks and communicate the results to stakeholders
  • Own the design, development, and maintenance of ongoing metrics, reports, dashboards, etc. to support and drive key business decisions
  • Discuss analytical requirements and results with different stakeholders on the business side and effectively turn them into data solutions
  • Deep dive into large data sets to answer key business questions using a wide range of data analytics tools e.g. SQL, data visualization (Tableau, Power BI, R), web analytics (e.g. Google Analytics, Webtrends), and BI solutions
  • Explore data to provide insights into future patterns identified from past and current data (both on ad-hoc and on ongoing basis)
  • Conception and implementation of data pipelines together with Data Engineers, and conception and implementation of advanced analytics together with Data Scientists
  • Continuous appraisal of new technologies and tools regarding their use and benefits, develop business models and manage projects
  • Occasionally act as a product owner. Creating and maintaining product backlog, gather requirements and feedback. Plan releases, defining vision, scope and features for your product.

What skills should you have?

  • A Master's or Bachelor's degree in related disciplines or equivalent work experience
  • Strong understanding of agile software development methodologies (e.g. Scrum) and an ability to define and organize work for a team
  • Strong communication and leadership skills; comfortable delivering results to stakeholders and colleagues, and discussing technical concepts with a range of audiences
  • Effectively manage (project) stakeholders through expectation management, acting as a point of escalation and positively influencing team dynamics
  • Business acumen, business case development, understanding business and user needs.
  • Experience in lateral leadership
  • Experience working with data visualization tools (such as Tableau, PowerBI, or Qlik) and experience in applied statistics, data analysis and data preparation and languages like SAS, R, Python, or SQL.
  • Knowledge of data warehousing, business intelligence and big data concepts, tools and terminologies
  • Technical curiosity in data, analytical, and machine learning technology

The following skills and experience would also be an asset:

  • Strong competence in Data Visualization tools (e.g. Tableau, Qlik, MS Power BI, R, and RShiny) and structured query languages (e.g. SQL, MDX etc.)
  • Experience in planning and project management tools (e.g. Jira, Trello, Confluence)
  • Knowledge and experience with big data or cloud technologies such as Hadoop Stack, Azure, GCP, etc.
  • Experience in aviation and aerospace

About us

zeroG was founded in 2015, as a spin-off from Lufthansa Systems. The goal was to set up a team of bright people – fluent in data & analytics and human-centered, agile work – and let them do their magic in improving aviation.

Throughout our history, we’ve supported the Lufthansa Group in their digital transformation journey and created the intelligent edge around Lufthansa Systems products, like NetLine/Ops++ and NetLine/Plan.

Today, we’re continuing our own journey in attracting OAL business, offering our expertise in improving business processes and developing cutting-edge data science applications and products. We deliver human-centered, end-to-end data science solutions, that help our clients eliminate cost, boost productivity and discover new business potentials.

Why join us?

  • A sense of ownership where you can take the initiative and see your work making a difference
  • A place where we value creativity and open dialogue over rigid hierarchies
  • A fascinating industry full of change and complexity, ripe with opportunities to transform the business with data science and automation
  • Award-winning data specialists to collaborate with and amaze people with elegant solutions
  • Smart colleagues from an incredible and diverse range of backgrounds – with experience in fields ranging from physics to logistics to music!
  • An international work environment with potential clients from around the globe
  • Learning opportunities so you can decide how to improve your skills
  • The best of a fast-paced start-up culture while being a part of the well-known Lufthansa brand, with travel benefits and much more
Apply for this job
🍀 Please mention you found the job on EU Data Jobs. It helps us reach out to more companies. We wish you lots of success! 🍀

About the Company

The Lufthansa Group is an aviation company with operations worldwide. It plays a leading role in its European home market. With 109,509 employees, the Lufthansa Group generated revenue of EUR 32.770m in the financial year 2022.

The Passenger Airlines segment includes, on the one hand, the network airlines Lufthansa German Airlines, SWISS, Austrian Airlines and Brussels Airlines. As part of the multihub strategy, they offer their passengers a broad range of flights from their global hubs in Frankfurt, Munich and Zurich as well as their national hubs in Vienna and Brussels. Lufthansa German Airlines also includes the regional airlines Lufthansa CityLine, Air Dolomiti and Eurowings Discover, the Lufthansa Group’s holiday airline.

Besides the network airlines, Eurowings also belongs to the Passenger Airlines segment. This airline provides a comprehensive range of point-to-point connections for European short-haul destinations, in particular from German-speaking countries.

Besides its Passenger Airlines business segment, the Lufthansa Group also comprises aviation services. This includes the Logistics, MRO and Catering segments in particular.

The Lufthansa Group also includes the Additional Businesses and Group Functions. These comprise Lufthansa Aviation Training and Lufthansa Systems especially.

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