Senior Data Analyst

⭐ 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 funnel optimization across all product areas. As an embedded partner within Product teams, you will analyze and optimize user journeys from acquisition 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?

Own end-to-end funnel analysis across all product areas, identifying drop-off points and conversion opportunities

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 funnel conversion 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 decisions

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 funnel analysis and optimization, with a track record of improving conversion rates

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 business recommendations

Experience with dbt for data transformation and modeling

Proficiency in data visualization tools (e.g., Looker, Power BI, Metabase, 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

Experience in the SaaS, vacation rental industry, or travel tech sectors

Familiarity with growth frameworks and product-led growth strategies