Senior Marketing Data Analyst

This is a fully remote position, open to applicants in Portugal.

📋 Description

• Evaluate performance metrics to create elasticity curves, assess marginal ROI, and determine optimal bidding thresholds.

• Collaborate with the Data Science team to integrate algorithmic bidding models into daily operations.

• Construct and execute structured experiments focusing on bidding strategies, pricing interactions, and keyword intent tiers.

• Utilize the Google Ads API for experiment instrumentation to facilitate automated allocation and capture real-time results.

• Employ SQL and BI tools to identify inefficiencies, reveal growth potential, and track competitive dynamics.

• Strategically redirect spending towards higher-value segments.

• Develop and sustain Python-based pipelines using the Google Ads API and SA360 API.

• Automate data ingestion, bid adjustments, and monitor campaign health.

• Create dashboards that highlight spending efficiency, incremental contributions, and market elasticity.

• Provide self-service insights for the SEA team.

• Serve as the analytical connector between SEA, Data Science, Pricing, and Platform Engineering.

• Promote data-informed, model-driven decision-making.

• Guide team members in hypothesis-driven projects and practical AI tools.

⛳️ Requirements

• Background in analytics, data science, or quantitative marketing, preferably within a tech, e-commerce, or mobility context.

• Expertise in SQL and BI tools such as Tableau, Power BI, or Looker.

• Proficient in Python for data manipulation, scripting, and automating workflows.

• Strong grasp of digital auction mechanics, Smart Bidding, and value-based bidding strategies.

• Understanding of LTV/CAC concepts, incrementality testing, attribution modeling, and multi-channel measurement.

• Practical experience with the Google Ads API or SA360 API.

• Familiar with data warehouse environments like BigQuery, Redshift, or Snowflake.

• Experience with algorithmic bidding systems or predictive modeling is a significant advantage.

• Regular use of AI coding assistants such as Claude Code or GitHub Copilot.

• Ability to distill complex technical insights into clear, actionable recommendations for both technical and non-technical audiences.

• Proactive mindset with the capacity to excel in fast-paced, data-driven environments.

🏝️ Benefits

• Hybrid working model with two office days each week and flexible working hours.

• Immediate access to Claude by Anthropic and SIXTgpt from day one.

• Support for AI learning and experimentation.

• 28 vacation days annually.

• An extra day off to celebrate your birthday.

• One volunteer day each year.

• Private health insurance that covers spouses and children at no cost.

• Annual Coverflex allowance.

• Daily meal allowance.

• Exclusive discounts on all SIXT services.

• Special offers extended to family and friends.

• Regular team events, community activities, and inspiring talks.