⭐ Who we are
Lodgify is a fast-growing scale-up company leading the vacation rental industry. Backed by $30M in funding, our platform empowers property owners and managers worldwide to efficiently manage and grow their business through technology.
Headquartered in sunny Barcelona, we're now a team of 380+ people representing over 60 nationalities, united by a passion for transforming the future of short-term rentals.
⭐ Role Overview
We are looking for an experienced Senior Data Analyst to join our Data Team and work closely with our Product department. In this strategic role, you will transform complex data into actionable insights that directly support product optimization, with a strong focus on customer activation.
As an embedded partner within Product teams, you will analyze and optimize user journeys from registration to activation, conversion, and retention. You'll define customer value metrics, design and lead A/B experiments, and translate business KPIs into product-level signals that drive growth. You'll be the bridge between data and decision-making, ensuring our strategies are evidence-based and customer-focused.
Why you’ll love us:
You’ll be part of a growing, dynamic company with a truly international team. At Lodgify, we are full of contagious energy, hard work, and passion for what we do. We celebrate diversity and are proud to acknowledge a variety of backgrounds, perspectives and skills in our team; committed to creating a workplace where everyone is heard and feels a sense of belonging.
What's in it for you?*
🏠 Remote Flexibility: The freedom to work from home any day that works for you.
🌴 Time to Recharge: 25 working days of paid vacation and Jornada Intensiva in August..
💊 Alan Health Insurance: Premium health, dental, and mental health support via Alan. Pre-existing conditions are covered.
😋 Meal Perk:€150/month allowance on your Alan card + 50% off Ametller Origen prepared dishes at the office.
💸 Tax-Free Savings: Increase your take-home pay by using Flexible Remuneration for extra meal costs (up to €70/mo) and public transport (up to €136/mo).
🖥️ Home Office Gear: We provide a table, ergonomic chair, and monitor for your home setup.
🇪🇸 Language Learning: Free Spanish classes.
🤑 Referrals: Cash rewards for bringing in new talent.
🌟 Social Life: Daily office breakfast and monthly team events
🎯 Dynamic Hub: A high-energy, inclusive environment designed for collaboration and connection with a team that represents over 60 countries.
- Benefits offered may differ based on the type of contract that is issued
So, what are you waiting for? Apply now!
All applications and CVs must be submitted in English 😉
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Analyze user journeys through activation, engagement, and retention to uncover friction points for different cohorts and user segments
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Partner with Product teams to prioritize and measure funnel improvement initiatives
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Define and track customer value metrics (activation, adoption, retention, engagement, conversion), business KPIs (ARR, churn, LTV, CAC) and translate them into actionable product signals
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Create insightful dashboards showing how product improvements impact customer value and business outcomes
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Autonomously design and lead A/B tests focused on conversion and retention improvements, partnering with stakeholders
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Proactively propose experiments to unlock new customer value levers and optimize conversion rates
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Select success metrics, analyze results, and interpret statistical significance to inform decision
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Develop and maintain data models using dbt (incremental models, snapshots, documentation, generic tests, macros)
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Apply data modeling techniques (star/snowflake schema, data-marts, SCDs) and optimize BigQuery queries using clustering/partitioning for performance and cost efficiency
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Work as embedded peer within Product squads, participating in syncs and discovery sessions to surface customer pain points and bottlenecks
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Communicate findings effectively to technical and non-technical stakeholders and mentor junior analysts to promote excellence
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5+ years of experience in a data analyst role, preferably in a SaaS or Product analytics environment
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Proven experience in customer activation area , with a track record of improving conversion rates and retention
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Strong A/B testing expertise with proven ability to design experiments and analyze statistical significance
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Strong business acumen and project management skills , with ability to connect analysis to objectives, define scope, and execute autonomously
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Expert-level SQL proficiency including window functions, query optimization, and experience with BigQuery or similar cloud data warehouses
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Excellent communication skills with ability to translate data insights into actionable business recommendations
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Experience with dbt for data transformation and modeling
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Proficiency in data visualization tools (e.g., Looker, Power BI, Metabase, Omni or similar) with strong understanding of visualization best practices
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Proficiency in Python for data analysis and automation, with knowledge of cohort analysis and customer segmentation techniques
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Familiarity with growth frameworks and product-led growth strategies