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Senior Marketing Analyst - Performance, Bidding, Automation

External
Sixt logoSixt · Lisbon, Portugal
Full-timeOn-site1w ago
BigQueryGitHubGoogle AdsLeadershipLookerPower BI
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Benefits

Community & International Environment: Join a truly global workplace with colleagues from many nationalities. Regular team events, community activities, and inspiring talks with internal and external speakers make our Lisbon hubs more than just an officeFlexibility & Modern Work Setup: Benefit from a hybrid working model with two office days per week and flexible working hours. Our modern offices are designed for collaboration while allowing you the flexibility to work in the way that suits you bestAI at your fingertips: From day one, you'll have access to Claude by Anthropic and SIXTgpt, SIXT's own AI platform, to supercharge your work. We invest in every team member's AI journey: encouraging experimentation, building knowledge, and making sure you're ahead of the curveTime Off & Wellbeing: Enjoy 28 vacHealth insuranceFlexible schedule

Additional Information

At SIXT, the SEA channel is one of our biggest growth drivers - and you will be at the heart of transforming how it's run, moving from manual campaign management toward scalable, AI-augmented, data-driven bidding. As a Senior Marketing Analyst for SEA Bidding & AI-Driven Performance, you will work closely with Data Science, Pricing, and Platform Engineering to optimize how millions of euros are invested in SEA. This is a high-impact, analytical role where you combine bidding strategy, experimentation, API-level automation, and AI-assisted analysis to build the infrastructure that makes optimization repeatable and future-proof. Sound like your kind of challenge? Join Team Orange and help shape the future of performance marketing at SIXT. YOUR ROLE AT SIXT You analyze performance data to model elasticity curves, marginal ROI, and optimal bidding thresholds - partnering with Data Science to embed algorithmic bidding models into daily operations You design and run structured experiments on bidding strategies, pricing × bidding interactions, and keyword intent tiers, building scalable experimentation frameworks that translate into repeatable playbooks You instrument experiments via the Google Ads API to enable automated allocation and real-time result capture - ensuring findings become repeatable playbooks, not one-off wins You use SQL and BI tools to surface inefficiencies, uncover growth opportunities, and monitor competitive dynamics to strategically reallocate spend toward higher-value areas You build and maintain Python-based pipelines using the Google Ads API and SA360 API to automate data ingestion, bid adjustments, and campaign health monitoring You develop dashboards that expose spend efficiency, incremental contribution, and market elasticity - enabling self-serve insights across the SEA team You act as the analytical bridge between SEA, Data Science, Pricing, and Platform Engineering - translating technical findings into clear, actionable recommendations for stakeholders and leadership You champion a shift toward data-backed, model-driven, AI-assisted decision making and mentor team members on hypothesis-driven work, advanced dashboard use, and practical AI tooling YOUR SKILLS MATTER Experience You bring 4-7 years in analytics, data science, or quantitative marketing, ideally from a tech, e-commerce, or mobility environment Tools/Systems You are proficient in SQL and BI tools such as Tableau, Power BI, or Looker, and comfortable using Python for data manipulation, scripting, and workflow automation Background You have a solid understanding of digital auction mechanics, Smart Bidding, and value-based bidding strategies - and you know how bidding decisions affect downstream business outcomes Knowledge You are familiar with LTV/CAC thinking and have exposure to incrementality testing, attribution modeling, or multi-channel measurement - you understand how they work and why they matter Technical Skills You have hands-on experience with the Google Ads API or SA360 API for campaign management and automation, familiarity with data warehouse environments such as BigQuery, Redshift, or Snowflake, and exposure to algorithmic bidding systems or predictive modelling in a marketing context is a strong plus AI Curiosity You actively use AI coding assistants such as Claude Code or GitHub Copilot to write and iterate on analytical scripts faster - and you bring that mindset and energy to the wider team Soft Skills You are proactive, curious, and able to translate complex technical findings into clear, actionable recommendations for both technical teams and non-technical stakeholders Motivation You thrive in fast-paced, data-driven environments, look for the next problem before being asked, and are always exploring how emerging tools can make your work - and your team's work - smarter


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