Senior Data Analytics Engineer

hace 2 días


San Francisco, Heredia, Costa Rica Amazon Support Services Costa Rica Srl - B20 A tiempo completo

Job Title: Senior Data Analytics Engineer

Estimated Salary:$110,000 - $140,000 per year

About the Role

We are seeking a highly skilled Senior Data Analytics Engineer to join our team at Amazon Support Services Costa Rica Srl - B20. As a key member of our Business Intelligence team, you will be responsible for designing and implementing scalable, automated infrastructure for data extraction, processing, and delivery.

About You

  • You have 2+ years of experience in analyzing and interpreting data with Redshift, Oracle, or NoSQL databases.
  • You possess advanced technical knowledge of data modeling and data pipeline design.
  • You are proficient in statistical analysis, correlation analysis, and improving code quality and optimizing BI processes.
  • You can effectively communicate complex ideas and collaborate with diverse stakeholders.
  • You thrive in fast-paced environments and are comfortable with ambiguity.

About the Job

  • Gather business requirements and inform stakeholders on inputs needed to achieve desired results.
  • Translate business problem statements into reports that answer customer questions.
  • Work closely with partner teams and business stakeholders to deliver features.
  • Define and manage technical roadmaps for end-to-end process automation.
  • Periodically identify opportunities for optimization in existing reporting.
  • Create and modify query syntax.
  • Convert data to information through basic descriptions, aggregations, and pivots.
  • Implement and deploy data visualization or communication tools (dashboards, decks, etc.).
  • Utilize basic data-manipulation tools and test data to determine accuracy.
  • Learn new technology to support process innovation and product migrations.
  • Communicate with stakeholders to understand business problems and define logic that can be solved with data, statistics, and scripting.
  • Use technical expertise and product knowledge to consult on business decisions.
  • Manage expectations, estimate effort, prioritize workload, and communicate on status.

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