Senior Growth Data Analyst

Lodgify; Laza; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Lodgify invites a Senior Data Analyst to join our Growth team and transform complex data into actionable insights that enhance acquisition funnel optimization and user journeys from acquisition to activation, conversion, and retention.

You will define key metrics, build dashboards, and design rigorous A/B experiments, translating KPIs into signals that guide product decisions. This embedded role partners with cross-functional teams to drive growth.

Formación

• 5+ years of experience in a data analyst role, preferably in a SaaS or Growth environment.
• Proven funnel analysis and optimization with conversion-rate improvements.
• Strong A/B testing expertise with multi-test design and significance analysis.
• Strong business acumen and project management skills.
• Expert-level SQL with BigQuery experience and window functions.
• Excellent communication skills to translate insights for stakeholders.
• Experience with dbt for data transformation and modelling.
• Proficiency with data visualization tools (Looker/Power BI/Metabase).
• Pragmatic AI fluency: using AI tools to accelerate analysis and self-serve data.

Responsabilidades

• Own end-to-end funnel analysis and identify drop-offs and opportunities.
• Partner with Growth to prioritize and measure funnel improvements.
• Define and track metrics (ARR, churn, LTV, CAC) and translate to product signals.
• Create dashboards showing impact of product changes on value and outcomes.
• Design and lead A/B tests focused on funnel conversion across areas.
• Propose experiments to unlock new customer value and optimize conversion.
• Analyze results and assess statistical significance for decisions.
• Develop data models using dbt (incremental models, snapshots, tests).
• Apply data modeling techniques and optimize BigQuery queries for performance and cost.
• Collaborate with Growth team, surface pain points, and mentor junior analysts.
• Communicate findings to both technical and non-technical stakeholders.

Conocimientos

Experience

SQL

A/B testing

Data visualization

Communication

AI fluency

Herramientas

BigQuery

Looker

Power BI

Metabase

dbt

Python

Descripción del empleo

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.

We are looking for an experiencedSenior Data Analyst to work closely with our Growth department.
In this strategic role, you will transform complex data into actionable insights that directly support business decisions, with a strong focus on acquisition funnel optimization.
As an embedded partner within Growth teams, you will analyze and optimize user journeys from acquisition to activation, conversion, and retention. You'll define key metrics, design and lead A/B experiments, and translate business KPIs into 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, identifying drop-off points and conversion opportunities


• Partner with Growth team to prioritize and measure funnel improvement initiatives


• Define and track leading and lagging metrics, 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 across all areas, 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 Growth team, 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 Growth 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 complex experiments, running multi-testing 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 modelling.


• Proficiency in data visualization tools (e.g., Looker, Power BI, Metabase, or similar) with strong understanding of visualization best practices


• Pragmatic AI fluency: uses AI tools as a force multiplier for data work — from liberating insights out of unstructured sources and documentation, to accelerating ad hoc analysis and self-serve data requests.

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


• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.