Are you passionate about data and eager to make an impact on how pricing decisions are made Join us and play a key role in shaping our pricing and revenue management strategy. Were looking for a highly analytical Product Analyst with a strong focus on data-driven insights to help us elevate our pricing yield and fleet products. Youll dive deep into large-scale business problems and help develop innovative solutions through advanced analytics statistical modeling and close collaboration with our data science and business teams.
The best part Youll do all of this in a dynamic international environment working closely with pricing and revenue managers business analysts data scientists and engineers. Sounds interesting Then apply now were looking forward to meeting you!
YOUR ROLE AT SIXT
- You analyze pricing and revenue-related processes challenge the status quo and proactively design test and validate data-driven solutions
- You use data analysis to support decision-making and advise leadership teams on revenue- and pricing-related strategies
- You act as the analytical bridge between Data Science Product and Business focusing on data interpretation practical business impact and an in-depth understanding of mathematical modeling
- You build prototypes to demonstrate feasibility and collaborate across teams to implement solutions in production systems
- You perform validation tests to ensure model accuracy documenting insights and recommendations clearly
- You collaborate closely with data scientists engineers analysts and business teams to continuously improve our data models and pricing logic
YOUR SKILLS MATTER
- Business Acumen You understand the dynamics of pricing and revenue management and can translate business needs into data-driven solutions with real-world impact
- Analytical Expertise You bring experience in quantitative analytics ideally with a focus on revenue management pricing strategy statistical modeling optimization or predictive analytics
- Academic Background You hold a degree in a quantitative field such as data science operations research statistics mathematics economics engineering or a similar discipline
- Professional Experience You have gained first experience as a product or data analyst ideally in pricing revenue management or a related field within an agile environment
- Technical Skills You are proficient in Python or R SQL and Git and comfortable working with large datasets and analytical tools
WHAT WE OFFER
- Extra benefits Enjoy discounts on SIXT rent share ride and SIXT attractive vehicle leasing offers and exclusive deals with partners for travel tech fashion and more
- Mobility boost We support you with a monthly mobility allowance of 20 per month for even more freedom
- Future security We contribute to your retirement plan and support you with capital-forming benefits to ensure you are well covered
- Feel-good atmosphere Stay active with our modern SIXT gym various leisure activities like the gaming area or the SIXT choir and enjoy our high-quality employee restaurant
- Flexibility Enjoy 30 days of vacation and a hybrid working model with flexible hours
- Giving back Take one day each year to volunteer at a charitable organization dedicated to supporting children
Additional Information :
About us:
We are a globally leading mobility service provider with a revenue of 4.00 billion and around 9000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental) SIXT share (car sharing) SIXT ride (taxi ride and chauffeur services) and SIXT (car subscription) giving our customers access to our fleet of 350000 vehicles the services of 4000 cooperation partners and around 5 million drivers worldwide. Together with our franchise partners we are present in more than 110 countries at 2000 rental stations. At SIXT top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!
Remote Work :
No
Employment Type :
Full-time