Senior Growth Data Analyst

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Barcelona, Cataluña, ESP
In-Office or Remote
Senior level
Software
The Role
Work as the Growth team's embedded senior data analyst to own funnel analysis, design and analyze A/B experiments, define and track business KPIs (ARR, churn, LTV, CAC), build dashboards, optimize BigQuery queries, develop dbt models, and translate insights into product and growth recommendations while mentoring junior analysts.
Summary Generated by Built In
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 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 modeling.

  • 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

Skills Required

  • 5+ years of experience in a data analyst role, preferably in SaaS or Growth
  • Proven experience in funnel analysis and optimization
  • Strong A/B testing expertise, including experimental design and statistical analysis
  • Strong business acumen and project management skills
  • Expert-level SQL proficiency including window functions and query optimization
  • Experience with BigQuery or similar cloud data warehouses
  • Experience with dbt for data transformation and modeling
  • Proficiency in data visualization tools (Looker, Power BI, Metabase, or similar)
  • Excellent communication skills for technical and non-technical stakeholders
  • Pragmatic use of AI tools to accelerate data work and insights
  • Proficiency in Python for data analysis and automation
  • Familiarity with growth frameworks and product-led growth strategies
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The Company
Barcelona, Barcelona
290 Employees
Year Founded: 2012

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.

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