Data Analyst

Landbot; Bilbao; Híbrido; EUR 30.000 - 45.000; Jornada completa

Descripción de la vacante

Landbot is seeking a passionate Data Analyst to shape its data strategy and support decision-making across the company. Your role will involve generating insights, ensuring data integrity, and developing analytics solutions in a fast-paced SaaS environment. Join a growing international company and influence key business decisions through data.

Servicios

Flexible schedule

Training budget

Paid vacation days

Language lessons

Referral bonuses

Formación

• 2-3 years experience in data analysis, preferably in SaaS or digital product.
• Strong analytical, technical, and communication skills.
• Ability to collaborate with product and business teams effectively.

Responsabilidades

• Collaborate with product teams to ensure proper data instrumentation.
• Analyze and visualize data for business insights.
• Integrate data warehouse with third-party tools.

Conocimientos

Analytical Thinking

Technical Proficiency

Collaboration

Delivery

Attention to detail

Project Management

Fluency in English

Fluency in Spanish

Educación

Degree in Statistics, Mathematics, Computer Science, Economics, or a related field

Herramientas

SQL

Python

Data Visualization Tools

ETL / ELT Techniques

Git

Descripción del empleo

Join to apply for the Data Analyst role at Landbot .

Get AI-powered advice on this job and more exclusive features.

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!

J-18808-Ljbffr