Quantitative Analyst / Data Scientist Revenue Management

Sixt

Oakland Park, FL

Full Time

Entry Level

15 days ago

Job Description

About the Role

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.

Key Responsibilities

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

Requirements

Bachelor's degree and 1+ years of hands-on experience in data analytics, revenue management, or data science, ideally in the travel or hospitality sector.
Proficiency in Python and experience with AWS tools (Batch, Redshift, Athena).
Comfort working with Tableau and modern data warehouse environments.
Strong foundation in operations research, statistical modeling, and heuristic optimization applied to real-world problems.
Ability to independently scope, structure, and execute analytical workstreams while clearly communicating insights to stakeholders.
Experience working in collaborative, cross-functional environments.

Nice to Have

Familiarity with agile practices.
Experience with modern tools like VS Code, GitHub Copilot, Cursor, JIRA, and Confluence.

Qualifications

Bachelor's degree in a relevant field.
1+ years of experience in data analytics, revenue management, or data science.

Benefits & Perks

Comprehensive Benefits Package - medical, dental, vision, life insurance, short- and long-term disability, and a 401(k)-retirement plan.
Paid Time Off - vacation, sick leave, and company holidays.
Career Growth Opportunities within a growing, global organization.
Hybrid Work Format - flexible 4/1 hybrid work schedule, where applicable.
Employee Rental Discounts - access to exclusive rental rates for you and your family.

Working at Sixt

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 products such as SIXT rent, SIXT share, SIXT ride, and SIXT+ to provide comprehensive mobility solutions. We prioritize top-tier customer experience and outstanding service, believing in true entrepreneurship and long-term stability. Our corporate strategy is aligned with foresight, fostering a dynamic and innovative work environment.

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