Data Analyst

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

Descripción de la vacante

A leading tech company is seeking a Data Analyst to shape its data strategy and support decision-making across the business. This role involves performing data analysis, visualization, and modeling, and ensures high-quality data flow within a fast-paced SaaS environment. Candidates need 2-3 years of relevant experience and strong technical skills, especially in SQL and Python.

Servicios

Flexible schedule

Open vacation policy

Training budget

Referral bonuses

Language lessons

Team activities

Formación

• 2-3 years of experience in data analysis within a digital product start-up or SaaS company.
• Fluency in English & Spanish.
• Strong cross-functional collaboration skills.

Responsabilidades

• Collaborate with teams to generate insights and support decision-making.
• Maintain data integrity in the data warehouse and develop visualizations.
• Integrate data with third-party tools and promote data literacy.

Conocimientos

Analytical Thinking

Technical Proficiency

Collaboration

Delivery

Excellent communication skills

Attention to detail

Strong project management skills

Educación

Degree in Statistics, Mathematics, Computer Science, Economics

Herramientas

SQL

Python

data visualization tools

ETL / ELT

git

Descripción del empleo

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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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