Hybrid Senior Data Analyst

at Native

• Job title: Senior Data Analyst
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Professional Certificate
• Tech skills: BigQuery, Cloud, ETL, Google Cloud Platform, MySQL, Postgres, Python
• Location requirements: Hybrid, Bogota, Colombia

About the role

• Senior Data Analyst responsible for data transformations and key reporting to support Native's operations. Working with various databases and tools to enable data-driven decisions.

Responsibilities

• Own Problems End-to-End: Take vague, complex challenges and drive them from concept through implementation, deployment, and iteration.
• Execution at Velocity: Ship resilient systems at pirate ship speed under intense constraints.
• Operationalize AI: Incorporate modern AI techniques into core systems both to optimize velocity and precision of builds and to leverage Native’s unique data pipelines from the market.
• Evolve the Platform: Contribute to the technical trajectory that renders the world’s largest commercial channel legible, actionable, and operational at scale.
• Domain Ownership: Command of system architecture, design, and implementation, accountable for results without excuse.
• Generate reports: Create and deliver accurate, clear, and valuable reports for both internal and external clients.
• Analyze information: Work with data collected from daily surveys, integrating datasets developed by data scientists.
• Automate processes: Streamline and execute automated data production workflows for efficient client delivery.
• Produce files: Prepare customized outputs tailored to each client’s specific structure and requirements.
• Improve logistics: Enhance planning processes to support field collaborators more effectively.
• Manage requests: Handle operational tickets promptly, ensuring timely responses and proper follow-up.
• Collaborate on projects: Performance is assessed on one axis: the velocity, precision, and scale at which this role advances Native’s position in the market.

Requirements

• Minimum of 2 years working on data analysis or data transformation projects.
• Professional degree in Systems Engineering, Software Engineering, or a related field.
• Proficient in ETL using database languages such as BigQuery, MySQL, or Postgres (required).
• Proven experience in Google Cloud Platform, particularly with Cloud Functions and Scheduler Queries (required).
• Strong proficiency in Python (required).
• English level B1 or higher (required).
• Experience using project management tools such as Jira or Microsoft Project (required).
• Skilled in automating reports using Pentaho tools (required).
• Hands-on experience with operational processes.