Senior Data Analyst Analytics Engineer

Summary

Join our team and design, build, and maintain complex data pipelines and ETL processes using Python. You will architect and optimize data storage across BigQuery, Redshift, and PostgreSQL, leveraging GCP tools. Responsibilities include developing data validation processes, creating Tableau dashboards, and collaborating with cross-functional teams. This role requires expert-level proficiency in SQL, BigQuery, Python, and Tableau, along with strong GCP experience. We offer competitive compensation, remote work, paid time off, and opportunities for career growth.

Requirements

• Expert-level proficiency in SQL and BigQuery, including performance optimization and scheduled queries
• Strong experience with Python for data automation, API ingestion, and pipeline scripting
• Expert-level Tableau proficiency is essential - for building, optimizing, and maintaining complex dashboards
• Strong hands-on experience with GCP (BigQuery, Cloud Functions, Cloud Scheduler and Google Data Form)
• Good practical knowledge of PostgreSQL and AWS Redshift
• Solid understanding of data modeling, analytics, and statistical methods
• Strong communication and collaboration skills

Responsibilities

• Design, build, and maintain complex data pipelines and ETL processes, including data migration scripts and external API integrations using Python
• Architect and optimize data storage across BigQuery, Redshift, and PostgreSQL, ensuring scalability, performance, and cost-efficiency
• Use Google Cloud Platform (GCP) tools such as BigQuery, Cloud Functions, Cloud Scheduler, Google Data Form to deliver reliable and automated data workflows
• Develop and maintain comprehensive data validation and quality assurance processes to ensure accuracy and consistency
• Create and manage advanced dashboards and visualizations in Tableau to communicate insights, monitor business KPIs, and support strategic decisions
• Work cross-functionally with product, engineering, and business teams to deliver data-driven recommendations
• Improve internal data workflows, analytics tooling, and documentation to support scalable, company-wide data usage

Benefits

• Compensation that will fully correspond to the competence and knowledge, with yearly performance reviews
• Remote type of work
• 20 days of vacation time; bank holidays; sick leaves; additional birthday day off