Quantitative Analyst / Data Scientist in Revenue Management Job at SIXT USA, Fort Lauderdale, FL

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  • SIXT USA
  • Fort Lauderdale, FL

Job Description

Job Description



As a Quantitative Analyst / Data Scientist in Revenue Management at SIXT, you will play a key role in shaping our data-driven pricing and forecasting strategies for North America. Reporting to the Senior Manager of Revenue Management Analytics, you’ll collaborate with cross-functional and international teams to enhance margin optimization, booking behavior forecasting, and data pipeline development in a fast-paced, startup-like environment. 

This role is ideal for early-career professionals with a passion for analytics, pricing, and technology who thrive on transforming data into actionable insights that impact profitability and market performance. 

YOUR ROLE AT SIXT 

  • You develop dynamic pricing and margin optimization tools by applying market intelligence, heuristic algorithms, and operations research techniques 
  • You enhance booking curve forecasting accuracy through time series analysis, demand modeling, and analytics-driven improvements 
  • You support the design, build, and maintenance of analytical data pipelines and tools using Python, AWS Batch, Airflow, Redshift, Athena, and Tableau 
  • You collaborate with global ML Ops and engineering teams in Germany, Portugal, and Ukraine to ensure seamless integration of analytics into the SIXT platform 
  • You conduct deep-dive analyses using structured frameworks to tackle revenue management topics such as fleet planning and pricing performance 
  • You translate business needs into structured analytical tasks and partner with stakeholders to deliver high-impact, data-driven solutions 

YOUR SKILLS MATTER 

  • Education & Experience You hold a Bachelor’s degree and bring 1+ years of hands-on experience in data analytics, revenue management, or data science—ideally in the travel or hospitality sector 
  • Technical Expertise You are proficient in Python, experienced with AWS tools (Batch, Redshift, Athena), and comfortable working with Tableau and modern data warehouse environments 
  • Analytics & Research Foundations You possess a strong foundation in operations research, statistical modeling, and heuristic optimization applied to real-world problems 
  • Business Acumen & Communication You can independently scope, structure, and execute analytical workstreams while clearly communicating insights to stakeholders 
  • Project Ownership & Collaboration You thrive in a collaborative, cross-functional environment and contribute to the successful implementation of scalable analytics solutions 
  • Agile Mindset Familiarity with agile practices and modern tools like VS Code, GitHub Copilot, Cursor, JIRA, and Confluence is a plus 

WHAT WE OFFER 

  • Comprehensive Benefits Package Enjoy medical, dental, vision, life insurance, short- and long-term disability, and a 401(k)-retirement plan 
  • Paid Time Off & Sick Leave Enjoy PTO, sick leave, floating paid holidays and a healthy work-life balance   
  • Career Growth Opportunities Develop your career within a growing, global organization 
  • Employee Rental Discounts Access exclusive rental rates for you and your family 

Additional Information



About us:

We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 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 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 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!

Job Tags

Full time, Temporary work, Worldwide,

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