
5001 - 10000 employees
Founded 1912
📦 Logistics
🚘 Automotive
💼 Consulting
Logistics • Automotive • Consulting
SIXT is a global mobility company offering premium car rental, long-term rentals, car subscriptions, chauffeur services, and car-sharing through an integrated app and worldwide station network. With over 2,000 stations in 105+ countries and a diverse fleet of 222,000+ vehicles including luxury and specialty models, SIXT serves leisure and corporate customers with airport and city pick-up/return, business fleet solutions, and digital booking and loyalty features.
🔥 4 hours ago
Where this job comes from
Posted on SIXT's careers page, not through a job board
First seen by Remote Rocketship 4 hours ago
Still open on SIXT's site. Checked 26 minutes ago.

5001 - 10000 employees
Founded 1912
📦 Logistics
🚘 Automotive
💼 Consulting
Logistics • Automotive • Consulting
SIXT is a global mobility company offering premium car rental, long-term rentals, car subscriptions, chauffeur services, and car-sharing through an integrated app and worldwide station network. With over 2,000 stations in 105+ countries and a diverse fleet of 222,000+ vehicles including luxury and specialty models, SIXT serves leisure and corporate customers with airport and city pick-up/return, business fleet solutions, and digital booking and loyalty features.
• Analyze performance data to model elasticity curves, marginal ROI, and optimal bidding thresholds • Partner with Data Science to embed algorithmic bidding models into daily operations • Design and run structured experiments on bidding strategies, pricing interactions, and keyword intent tiers • Instrument experiments via the Google Ads API to enable automated allocation and real-time result capture • Use SQL and BI tools to surface inefficiencies, uncover growth opportunities, and monitor competitive dynamics • Strategically reallocate spend toward higher-value areas • Build and maintain Python-based pipelines using the Google Ads API and SA360 API • Automate data ingestion, bid adjustments, and campaign health monitoring • Develop dashboards exposing spend efficiency, incremental contribution, and market elasticity • Enable self-serve insights across the SEA team • Act as the analytical bridge between SEA, Data Science, Pricing, and Platform Engineering • Champion data-backed, model-driven decision making • Mentor team members on hypothesis-driven work and practical AI tooling
• Experience in analytics, data science, or quantitative marketing, ideally from a tech, e-commerce, or mobility environment • Proficient in SQL and BI tools such as Tableau, Power BI, or Looker • Comfortable using Python for data manipulation, scripting, and workflow automation • Solid understanding of digital auction mechanics, Smart Bidding, and value-based bidding strategies • Familiarity with LTV/CAC thinking, incrementality testing, attribution modeling, and multi-channel measurement • Hands-on experience with the Google Ads API or SA360 API • Familiarity with data warehouse environments such as BigQuery, Redshift, or Snowflake • Exposure to algorithmic bidding systems or predictive modelling is a strong plus • Active use of AI coding assistants such as Claude Code or GitHub Copilot • Ability to translate complex technical findings into clear, actionable recommendations for technical and non-technical stakeholders • Proactive approach and ability to thrive in fast-paced, data-driven environments
• Hybrid working model with two office days per week and flexible working hours • Access to Claude by Anthropic and SIXTgpt from day one • AI learning and experimentation support • 28 vacation days per year • Additional day off on your birthday • One volunteer day annually • Private health insurance covering spouse and children free of charge • Yearly Coverflex allowance • Daily meal allowance • Exclusive rates on all SIXT services • Special discounts extended to family and friends • Regular team events, community activities, and inspiring talks
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.