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 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.
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
Description: Ability to break down complex problems or datasets and derive meaningful insights.
Example: Identifying trends in user behavior from product data and suggesting actionable strategies for the product team.
Technical Proficiency:
Description: Proficient in data warehousing technologies, ETL/ELT processes, SQL, Python, git and data visualization tools. Familiar with development tools (CI/CD, version control, testing).
Example: Successfully integrating a new data source into the warehouse without disrupting existing processes or data. Proficiency in SQL, Excel, and data visualization tools (e.g., Looker, Amplitude).
Collaboration:
Description: Ability to work seamlessly with both business and product teams, understanding their unique requirements and delivering tailored insights.
Example: Collaborating with the marketing team to identify key performance indicators (KPIs) and designing a custom dashboard to track these metrics in real-time.
Delivery:
Description: Assumes responsibility for the priorities assigned and ensures tasks are completed end-to-end. If obstacles arise, proactively seeks assistance rather than letting tasks linger incomplete.
Example: When tasked with a critical data analysis project for the sales team, the data analyst encountered issues with data inconsistency. Instead of delaying the report, she collaborated with developers to address the data issues, ensuring the project was completed on time and met the sales team's requirements.
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
1️⃣ HR Interview – 20 min
2️⃣ Interview with Hiring Manager - 40 min
3️⃣ Challenge
4️⃣ Team Interview & Challenge Discussion – 60 min
5️⃣ CEO
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 so you can take time off when you need it.
Training budget
Ticket transport
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!
Apply Now