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Data Analyst at Growe, Remote (Europe)

Growe welcomes those who are excited to:

• Work with SQL: write, optimize, and maintain complex queries to clean, transform, and aggregate raw data from multiple sources;
• Build and optimize datasets in AWS Athena, Redshift.
• Collaborate with Data Engineers and BI Developers to ensure consistency and reusability of data sources across the company;
• Implement data quality tests, documentation, and lineage to maintain trust in data.
• Partner with business stakeholders to translate analytical requirements into scalable data solutions.
• Contribute to the standardization of metrics and definitions across dashboards and reports.
• Support Tableau/Analytic teams in performance tuning, source validation, and model optimization;
• Participate in code reviews, CI/CD, and continuous improvement of the data stack.

We need your professional experience:

• 3+ years of experience as an Analytics Engineer, Data Engineer, Data/Product Analyst, or BI Developer in a modern data stack environment;
• Strong SQL skills (analytical queries, CTEs, window functions, optimization);
• Experience with dbt (sources, models, tests, macros, documentation) will be a plus;
• Good understanding of data modeling principles (star schema, incremental builds, staging layers);
• Familiarity with Airflow DAGs, scheduling, and dependencies;
• Experience with version control (Git) and collaborative development;
• English – intermediate or higher (able to communicate in technical discussions);
• At least an Intermediate level of the Ukrainian language.

We appreciate if you have those personal features:

• Problem-solving skills;
• Attention to detail;
• Passion for building clean, maintainable data systems.

We are seeking those who align with our core values:

• GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals;
• DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;
• BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.