Online Marketing Analytics Manager - (Hybrid)

We're seeking an experienced Online Marketing Analytics Manager to join our Online Marketing Data Analyst team in Barcelona to solve complex measurement challenges and drive meaningful business outcomes.

Key Responsibilities and Tasks

- Partner with media stakeholders to understand business objectives and identify where measurement or deeper analysis can improve decision‑making.
- Independently lead end‑to‑end analytical projects, from translating business problems into structured analytical approaches through analysis execution, insight generation and stakeholder communication.
- Present evidence‑based recommendations, clearly articulating expected business benefits, trade‑offs, risks and limitations, and drive their adoption across the business.
- Proactively identify and propose new analytical projects, experiments and optimisation initiatives that improve business performance.
- Oversee the design of a cross‑platform test‑and‑learn agenda and support its implementation.
- Develop measurement plans and analytical frameworks to evaluate the effectiveness of marketing investments.
- Work closely with Data Engineering to continuously improve the marketing data landscape by identifying opportunities to enhance data quality, reliability and completeness, and enable new reporting views, datasets and data sources.
- Collaborate with the Tracking and Data Activation teams to strengthen the quality, availability and usability of marketing data across platforms.

What You Need to Succeed

- At least 8 years of experience in Marketing Analytics, ideally within a high‑growth, fast‑paced environment.
- Strong SQL skills, including writing efficient, complex queries across large datasets.
- Strong Python skills for data processing, analysis,



automation and data visualisation.
- Experience designing and conducting complex analytical projects from problem definition through to business recommendation.
- Strong analytics knowledge, with the ability to select and apply appropriate analytical methodologies to different business questions.
- Experience with experimentation and causal measurement techniques such as A/B testing, incrementality measurement, causal inference or quasi‑experimental methods.
- Ability to identify patterns, opportunities and optimisation levers through proactive exploration of large and complex datasets.
- Ability to balance measurement rigor with pragmatic business constraints.
- Experience communicating analytical findings to senior stakeholders and influencing strategic business decisions.
- Experience independently owning complex analytical initiatives involving multiple stakeholders.
- Experience with marketing platforms (e.g. Google Ads, Apple Search ads, YouTube, Meta, TikTok, etc.) and tools like GA4, Appsflyer, AppTweak or similar is beneficial but not essential.

Preferred Qualifications

- Experience with Applied AI Tools: Demonstrated comfort using practical AI tools such as Gemini or other AI‑powered assistants.
- Experimentation Mindset: Curiosity and eagerness to explore, experiment with, and integrate emerging AI‑driven solutions into workflows.
- AI‑Enhanced Problem Solving:



Ability to effectively leverage AI tools to streamline processes and enhance productivity.
- Adaptability and Learning Agility: Enthusiastic about continuously learning and quickly adapting to new AI features and capabilities.

Benefits

- Competitive salary and benefits package, including adaptable benefits, performance‑based bonuses, birthday day off, discounts and partnerships, relocation support and premium equipment with role‑based selection options.
- Continuous learning: free Coursera access, soft skills workshops, tech training, leadership development and a great onboarding program.
- Career growth: personalised career paths and the eVOLVE Program, internal mobility opportunities for horizontal changes and promotions.
- Well‑being: hybrid home‑office model focused on outcomes, freedom and flexibility, employee care, transparency, and a supportive work‑life balance.
- Community and culture: after‑work events, sporting and musical communities, no dress code, free fruit, coffee and tea at offices.
- Dynamic and healthy environment: innovative mindset, risk‑taking, idea sharing, Agile methodology, and recognition at the core.

We are an equal‑opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Our people are the key to our success.

Each one of them is unique in their own way and the respect for their uniqueness is and will always be a passion and motivation. If you’re excited about this role but do not feel your experience aligns perfectly with all the requirements we strongly encourage you to apply nevertheless.

📌 Online Marketing Analytics Manager (Madrid)
🏢 Traveltechessentialist
📍 Madrid