⭐ 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.
⭐ How will you make an impact?
Analyze user journeys through activation, engagement, and retention to uncover friction points for different cohorts and user segments
Partner with Product teams to prioritize and measure funnel improvement initiatives
Define and track customer value metrics (activation, adoption, retention, engagement, conversion), business KPIs (ARR, churn, LTV, CAC) and translate them into actionable product signals
Create insightful dashboards showing how product improvements impact customer value and business outcomes
Autonomously design and lead A/B tests focused on conversion and retention improvements, partnering with stakeholders
Proactively propose experiments to unlock new customer value levers and optimize conversion rates
Select success metrics, analyze results, and interpret statistical significance to inform decision
Develop and maintain data models using dbt (incremental models, snapshots, documentation, generic tests, macros)
Apply data modeling techniques (star/snowflake schema, data-marts, SCDs) and optimize BigQuery queries using clustering/partitioning for performance and cost efficiency
Work as embedded peer within Product squads, participating in syncs and discovery sessions to surface customer pain points and bottlenecks
Communicate findings effectively to technical and non-technical stakeholders and mentor junior analysts to promote excellence
⭐ What makes you a great fit?
5+ years of experience in a data analyst role, preferably in a SaaS or Product analytics environment
Proven experience in customer activation area, with a track record of improving conversion rates and retention
Strong A/B testing expertise with proven ability to design experiments and analyze statistical significance
Strong business acumen and project management skills, with ability to connect analysis to objectives, define scope, and execute autonomously
Expert-level SQL proficiency including window functions, query optimization, and experience with BigQuery or similar cloud data warehouses
Excellent communication skills with ability to translate data insights into actionable business recommendations
Experience with dbt for data transformation and modeling
Proficiency in data visualization tools (e.g., Looker, Power BI, Metabase, Omni or similar) with strong understanding of visualization best practices
⭐ How can you earn extra bonus points?
Proficiency in Python for data analysis and automation, with knowledge of cohort analysis and customer segmentation techniques
Familiarity with growth frameworks and product-led growth strategies
🏠 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 😉
Skills Required
- 5+ years of experience in a data analyst role
- Proven experience in funnel analysis and optimization
- Strong A/B testing expertise
- Expert-level SQL proficiency
- Experience with dbt for data transformation and modeling
- Proficiency in data visualization tools
- Proficiency in Python for data analysis and automation
- Experience in the SaaS or vacation rental industry
What We Do
Lodgify is a constantly growing tech start-up, focused on building vacation rental software that enables vacation rental owners to independently manage and market their business online. We do so by providing them with easy-to-build websites, including a booking and reservation system, various synchronisation options, and payment collection options. We are +300 Lodgifiers strong, and you can find us working in Barcelona and all around the world! We are working in a hybrid mode and provide our team members with an option to work from home and spend additional time with their family, friends and pets. With nearly 50 nationalities, we celebrate diversity daily! With 43% of female and 57% of male employees we are striving to establish a gender balance. Actions are continuously taken to include more women in our Tech teams.
