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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 ideal for someone passionate about data analytics, product insights, and problem-solving in a fast-paced SaaS environment.
Your Main Tasks & Responsibilities
* 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.
* 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.
* 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
* 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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