Data Analyst

Landbot; Madrid; Presencial; EUR 30.000 - 60.000; Jornada completa

Descripción de la vacante

Una empresa innovadora busca un Analista de Datos para unirse a su equipo. En este rol, serás fundamental en la estrategia de datos del producto, asegurando análisis de alta calidad y visualización para decisiones informadas. Trabajarás en un entorno dinámico y colaborativo, influenciando decisiones clave y aprendiendo de diversas áreas del negocio. Si te apasiona el análisis de datos y deseas impactar en un entorno SaaS, esta es tu oportunidad. Únete a un equipo internacional con una cultura empresarial vibrante y flexible.

Servicios

Cultura híbrida o totalmente remota

Gran cultura empresarial

Horario flexible

Política de vacaciones abierta

Presupuesto para formación

26 días de vacaciones pagadas

Clases de inglés y español

Compensación flexible

Actividades de team building

Bono por referidos

Formación

• 2-3 años de experiencia en análisis de datos en una startup digital o empresa SaaS.
• Grado en Estadística, Matemáticas, Informática, Economía o campo relacionado.

Responsabilidades

• Colaborar con equipos de desarrollo de productos para asegurar la correcta instrumentación de datos.
• Analizar datos de diversas fuentes para generar insights y apoyar la toma de decisiones.

Conocimientos

Análisis de datos

Pensamiento analítico

Comunicación efectiva

Colaboración

Gestión de proyectos

Educación

Grado en Estadística

Grado en Matemáticas

Grado en Informática

Grado en Economía

Herramientas

SQL

Python

Git

Herramientas de visualización de datos

dbt

Airflow

BigQuery

Google Cloud

Descripción del empleo

Landbot is the most powerful no-code chatbot builder. Our platform helps thousands of companies convert leads, capture data, and personalize customer journeys in real time.

Our Core Values

The Role

We are looking for a Data Analyst to join our team!

As a Data Analyst, you will play a key role in shaping our product's data strategy, ensuring high-quality data analysis, visualization, and modeling to support data-driven decisions across the company. This position is ideal for someone passionate about data analytics, product insights, and problem-solving in a fast-paced SaaS environment.

Your Main Tasks & Responsibilities

1. Insight Generation & Experimentation:
   • Collaborate with product development teams to ensure the product is correctly instrumented, and that the operational data models allow the exploitation of our data for analytics purposes.
   • Analyze data from various sources to draw insights and support decision-making.
   • Collaborate with business and product teams to identify key metrics and derive actionable insights.
   • Collaborate with product managers in identifying opportunities, formulating hypotheses and validating them via experimentation.
2. Analytics Engineering:
   • Ensure data freshness, integrity and consistency within the data warehouse.
   • Develop & Maintain ELT processes to extract, transform, and load data from various sources into the warehouse.
   • Define and maintain usable reports and metrics, enabling self-service from the stakeholders.
   • Design, develop or help develop visualizations and dashboards tailored to the needs of different teams.
3. Data Activation:
   • Integrate data warehouse with third-party tools to activate the data for marketing, customer success, and/or sales.
   • Ensure the accuracy and timeliness of data feeds to these tools.
   • Promote data literacy and data informedness with stakeholders.

What Makes This Role Exciting?

• Work on end-to-end data flow, influencing key product and business decisions.
• Gain visibility into all company departments, learning from a variety of business areas.
• Be part of a fast-growing, international company with a strong tech focus.

Must-Have Requirements

• 2-3 years of experience in data analysis within a digital product start-up or SaaS company.
• Degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
• Analytical Thinking: Ability to break down complex problems or datasets and derive meaningful insights.
• Technical Proficiency: Proficient in data warehousing technologies, ETL/ELT processes, SQL, Python, git and data visualization tools.
• Collaboration: Ability to work seamlessly with both business and product teams, understanding their unique requirements and delivering tailored insights.
• Delivery: Assumes responsibility for the priorities assigned and ensures tasks are completed end-to-end.
• Excellent communication skills – ability to present data clearly and concisely.
• Fluency in English & Spanish.
• Eligibility to work in Spain.
• Attention to detail – high level of accuracy and commitment to data integrity.
• Strong project management and cross-functional collaboration skills.

Nice-to-Have Requirements

• Experience with dbt, Airflow.
• Fan of generative AI, especially LLMs.
• Familiarity with BigQuery, Google Cloud or other data warehousing solutions.
• Understanding of machine learning techniques and their applications.
• Experience in product development, SaaS, or tech industry.

Hiring Process

• HR Interview – 20 min
• Interview with Hiring Manager - 40 min
• Challenge
• Team Interview & Challenge Discussion – 60 min

Benefits

• Hybrid culture or full remote (or both!).
• Great company culture, we have a young, upbeat, and international work environment.
• Flexible schedule.
• Open vacation policy and flexible holidays.
• Training budget.
• 26 days of paid vacation (23 regular days + December 24th & 31st) + One day for your birthday.
• English & Spanish lessons.
• Flex compensation with Cobee.
• Team building activities.
• Referral Bonus if you bring other talented people like you.

If you’re ready to take on the challenge and join an industry-leading tech company, we look forward to your application!