What work will you do?
In This Role, You Will
- 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
What skills should you have?
- A Master's or Bachelor's degree in related disciplines or equivalent work experience
- 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 and business case development
- 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.)
- Strong understanding of agile software development methodologies (e.g. Scrum) and an ability to define and organize work for a team
- 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
Read more about zeroG, our culture, and tips for the recruitment process at https://www.zerog.aero/career.
