Senior Data Analyst

Your main responsibilities: -Maintain and develop company-wide periodic reports, ensuring a "single source of truth" for executive decision-making. -Work with large datasets to provide transformative insights that drive organizational goals and lead to tangible business results, such as implementing new features and initiatives. -Lead data initiatives and projects, driving cross-functional collaboration and thought leadership.

-Maintain and oversee ETL/ELT processes, ensuring the optimization of cost and efficiency in data processing. -Support the DE team by managing day-to-day updates in code repositories and data pipelines. This is the right job for you if: -You have at least 3-4 years of experience working with large datasets as a Data Engineer, Technical Analyst, or in related roles.

-You are an expert in SQL. -You are proficient in Python for working with large datasets. -You have experience working with Airflow and Google Cloud Platform (including BigQuery).

-You apply engineering best practices (clean code, code review, CI/CD) and demonstrate a high degree of autonomy. -You are effective at partnering and building relationships across finance, business, analytics, and data science teams. -You are a proactive problem-solver.

-You have English proficiency on at least B2 level and enjoy sharing knowledge with other team members.

• Flexible working hours in the hybrid model (4/1) - our hours can start between 7:00 a.m. and 10:00 a.m. We also have 30 days of