Analyze large and complex datasets to identify trends, opportunities and business insights using Google BigQuery;
Develop scalable data pipelines, automated reporting solutions and analytical models using Python and Airflow;
Work with GCP services, primarily BigQuery and Looker, to build and optimize analytics workflows;
Design and maintain dashboards, KPIs and self-service reporting solutions for business stakeholders;
Translate business requirements into analytical solutions and actionable recommendations;
Collaborate with engineering, product and operations teams to support data-driven decision-making;
Perform data validation, quality checks and root-cause analysis to ensure data integrity;
Optimize SQL queries and improve performance of large-scale data transformations;
Support automation and AI-driven initiatives by leveraging modern analytics and data engineering practices;
Document analytical processes, data models and reporting frameworks to ensure maintainability and scalability.

Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Engineering or a related field;
3+ years of experience in data analytics, business intelligence or analytics engineering roles;
Advanced proficiency in Python for data analysis, automation and workflow development;
Strong SQL skills and experience working with large-scale relational and analytical databases;
Hands-on experience with Google Cloud Platform (GCP), particularly BigQuery and Looker;
Strong understanding of data modeling, ETL/ELT processes and analytics engineering concepts;
Experience working with orchestration and automation tools such as Airflow;
Experience working with version control systems such as Git;
Excellent communication and stakeholder management skills, with the ability to present insights to technical and non-technical audiences;
English proficiency is mandatory;
Curious mindset, proactive attitude and strong collaboration skills.

Health insurance for the whole family, flexible working environment and well-being support and tools;
Extra days off, sabbatical program and days for you to give back for the community.
Training opportunities;
Flexible benefits program.

Data Analyst

Key skills