Senior Analytics Engineer (Data Modeling & BI)

Role overview Build trusted, well-structured data products that help business teams make decisions and explore information independently. This senior analytics engineering role connects data engineering with business analytics: you’ll translate needs across areas such as marketing, customer relationship management, product, and B2B into reusable models, agreed metrics, and useful reporting assets.

Responsibilities - Create and maintain SQL-based data models that turn raw inputs into reliable datasets for reporting and self-service analysis. - Partner with data engineers to define and certify important business measures, including revenue, engagement, marketing performance, and B2B indicators. - Work with business teams to understand questions and develop reusable data assets that address them. - Improve data quality, consistency, testing, observability, and governance in collaboration with engineering partners. - Help stakeholders use BI and visualization tools effectively, and develop custom reporting where needed. - Contribute to Python-based orchestration pipelines and domain-owned datasets within a federated data approach. - Use AI coding assistants and related tools to support day-to-day development work.

Requirements - Strong SQL skills and experience with data modeling approaches such as star schemas, snowflake schemas, or data vault. - Practical experience with dbt or a comparable transformation framework. - Hands-on Python experience and familiarity with orchestration tools such as Airflow, Dagster, or Prefect. - Familiarity with cloud data warehouses and BI tools. - Understanding of data quality, governance, and observability practices. - Fluency in Spanish and English for collaboration with local and international teams. - A degree in computer engineering, data engineering, data science, or a related field; strong communication and cross-functional collaboration skills.

Nice to have - Experience working in a data mesh or federated data organization. - Familiarity with data catalog platforms. - Analytics experience in marketing, CRM, or B2B reporting. - Experience or interest in using AI coding assistants for data development.

Benefits and work setup - Home-office-friendly work setup, health insurance, stock options, and a compensation package that may include a performance bonus. - Additional offerings include event discounts, English lessons, a gym membership, flexible remuneration, and the option to receive part of salary in advance.