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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 idóneo 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 proper instrumentation and operational data models for analytics. Analyze data from various sources to draw insights and support decision-making. Work with business and product teams to identify key metrics and derive actionable insights. Collaborate with product managers to identify opportunities, formulate hypotheses, and validate 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. Define and maintain reports and metrics for stakeholder self-service. Design and develop visualizations and dashboards tailored to team needs.
3. Data Activation: Integrate data warehouse with third-party tools for marketing, customer success, and sales. Ensure the accuracy and timeliness of data feeds. Promote data literacy and data-informed decision-making among 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 various 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. Example: Identifying trends in user behavior and suggesting strategies.
- Technical Proficiency: Skilled in data warehousing, ETL/ELT, SQL, Python, git, and data visualization tools. Familiar with development tools (CI/CD, version control, testing). Example: Integrating new data sources without disrupting existing processes.
- Collaboration: Able to work seamlessly with business and product teams, understanding their needs. Example: Creating dashboards to track KPIs in real-time.
- Delivery: Responsible for tasks from start to finish, proactively addressing obstacles. Example: Collaborating with developers to resolve data issues promptly.
- Excellent communication skills to present data clearly.
- Fluency in English & Spanish.
- Eligibility to work in Spain.
- Attention to detail and commitment to data integrity.
- Strong project management and cross-functional collaboration skills.

Nice-to-Have Requirements

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

Hiring Process

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

Benefits

- Hybrid or full remote work options.
- Great company culture, young and international environment.
- Flexible schedule and open vacation policy.
- Training budget, transport tickets, paid vacation days, birthday leave.
- Language lessons, flexible compensation, team activities, referral bonuses.

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

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📌 Data Analyst (España)
🏢 Landbot
📍 España