Business Data Analytics Consultant - Product Manager (m/f/d)
What work will you do?
We do both contuling and international projects - in both cases you will be helping our customers, mostly in the aviation sector, to transform their business with data, either as part of their team or with your zeroG colleagues.
In this role you will :
- Own the design, development, and maintenance of ongoing metrics, reports, dashboards, etc.
- Discuss analytical requirements and results with stakeholders 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, and BI solutions
- Explore data to provide insights into future patterns identified from past and current data
- Conception and implementation of data pipelines together with Data Engineers, and of advanced analytics together with Data Scientists
- 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.
Flight privileges, Business cell phone / ipad, Discounts / shopping, Employee events (summer festivals, participation in sports competitions etc), Hybrid working possible, Flexible working hours, Development programs / Training opportunities
We value hiring motivated, smart people who align with our company values over checking boxes - if you don't 'perfectly' fit the following criteria but believe your skills and personality would bring our company forward, we still want to hear from you!
- Bachelor's or Master's degree or equivalent work experience in relevant fields
- Proficient in agile methodologies like Scrum, adept at organizing team tasks
- Strong communication and leadership skills for engaging stakeholders and team members
- Skilled in managing stakeholder expectations and fostering positive team dynamics
- Business savvy with expertise in business case development and understanding user needs
- Experienced in lateral leadership and proficient with data visualization tools (e.g., Tableau, PowerBI, Qlik)
- Familiarity with applied statistics, data analysis, and languages such as SAS, R, Python, or SQL
- Knowledgeable in data warehousing, business intelligence, and big data concepts
- Curious about data, analytics, and machine learning technology
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