Product Analyst (m/f/d) Pricing & Optimization
Product Analyst (m/f/d) Pricing & Optimization
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Job Description
Are you a numbers whiz with a passion for solving complex puzzles and optimizing business operations Join us and be at the heart of our success: we are looking for a highly analytical Product Analyst Price Optimization (m/f/d) to help us propel our pricing products to new heights. As a high-level problem solver you will use advanced techniques such as optimization statistical analysis big data and mathematical modelling to come up with high-quality innovative solutions for large-scale real-world problems from pricing and revenue management. The best part about it Do all of that in a fun international diversified environment amid pricing and revenue business managers business analysts data scientists and engineers.
Sounds interesting Then apply now we are looking forward to meeting you!
YOUR ROLE AT SIXT
- You analyze processes and needs of our international business stakeholders question existing processes and proactively test your ideas for innovative solutions
- You build working prototypes to demonstrate ideas/proof feasibility and align with business and IT to implement results in production systems including data engineering programming modelling and conceptual development
- You collect and analyze data on business operations to assist in decision-making processes and advise leadership teams on solutions
- You perform tests to ensure the accuracy of our models and document your findings and recommendations
- You build the bridge between Data Science Business and Product with in-depth understanding of modelling technical implementation and most importantly the business needs
- You work as one team with data scientists data engineers data analysts and business users to maintain and improve our data models
YOUR SKILLS MATTER
- Academic Background You have a university degree in an analytical subject (e.g. operations research data science statistics mathematics business economics engineering or similar)
- Skills You have experience in quantitative analytics with a focus on statistical modeling optimization methods machine learning and/or predictive analytics in the industry or academic research
- Experience You have gained (first) experience as a product/data analyst (m/w/d) in the environment of an agile organization with data science background ideally with a pricing or revenue management background
- Technical Skills You have solid knowledge in Python or R SQL and Git
- Business Acumen You have a deep understanding of an underlying business need how this could be modelled and implemented in a production codebase and have a good understanding of the implications of the decisions that are taken
WHAT WE OFFER
- Generous Time Off Enjoy 28 days of vacation an additional day off for your birthday and 1 volunteer day per year
- Work-Life Balance & Flexibility Benefit from a hybrid working model flexible working hours and no dress code
- Great Employee Benefits Access discounts on SIXT rent share ride and SIXT along with partner discounts
- Training & Development Participate in training programs designed for your personal growth and development
- Health & Well-being Private health insurance to support your well-being
- Additional Perks Enjoy the Coverflex advantage system to enhance your employee experience
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
Employment Type
Full-time
