Hybrid Senior Data Analyst

Posted last week

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About the role

  • 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.

Job title

Senior Data Analyst

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Professional Certificate

Location requirements

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