Data Analyst

Landbot; España; Hybrid; EUR 30,000 - 50,000; Full time

Benefits offered by this job

Hybrid or full remote work options

Flexible schedule and open vacation policy

Training budget

Transport tickets

Paid vacation days

Birthday leave

Language lessons

Flexible compensation

Team activities

Referral bonuses

Job summary

A leading tech company is seeking a Data Analyst to shape data strategy and support decision-making. This role involves analyzing data, collaborating with product teams, and ensuring data integrity. Join a dynamic environment with opportunities for growth and innovation.

Qualifications

• 2-3 years of experience in data analysis within a digital product start-up or SaaS company.
• Fluency in English & Spanish.
• Attention to detail and commitment to data integrity.

Responsibilities

• Collaborate with product teams for data analysis and insights.
• Maintain data integrity and develop ELT processes.
• Integrate data warehouse with third-party tools.

Skills

Analytical Thinking

Technical Proficiency

Collaboration

Delivery

Communication

Education

Degree in Statistics

Degree in Mathematics

Degree in Computer Science

Degree in Economics

Tools

SQL

Python

git

data visualization tools

dbt

Airflow

BigQuery

Google Cloud

Job description

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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

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!