Hybrid Data Analyst II - Insights & Automation (PR)

globalhr

Aguadilla (PR)

Hybrid

USD 70,000 - 110,000

Full time

12 days ago
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Benefits offered by this job

Medical, dental, vision insurance
401(k) with match
Scholar Program

Job summary

Collins Aerospace is seeking a data analytics professional to perform end-to-end data processing, build pipelines, and provide actionable insights. The role blends data science and engineering in a hybrid Aguadilla, PR environment, with collaboration across cross-functional teams.

The ideal candidate will have a STEM degree, 2+ years of experience, strong Python/SQL skills, and proficiency in data visualization. Relocation is not offered; some domestic/international travel may occur.

Qualifications

  • Requires STEM degree with 2 years of related experience.
  • Strong English communication skills (verbal and written).
  • U.S. citizenship is required for access to program information.

Responsibilities

  • Perform end-to-end data processes: collect, curate, analyze, visualize.
  • Develop and automate data pipelines to transform data into insights.
  • Write Python scripts to support analytics workflows.
  • Execute DDL/DML operations and ensure data quality.
  • Collaborate with cross-functional teams; participate in Agile sprints.
  • Prepare technical docs, presentations, and reports for stakeholders.

Skills

Python
SQL
Data analysis
Agile methodologies
Data visualization
English communication
ETL processes
Machine learning basics

Education

Bachelor’s degree in STEM
Bachelor’s degree in Data Science/CS/Math

Tools

Python for data analysis (NumPy, Pandas, PySpark)
SQL databases
Tableau
PySpark
ETL tools

Job description

Collins Aerospace is seeking a data analytics professional to perform end-to-end data processing, build pipelines, and provide actionable insights. The role blends data science and engineering in a hybrid Aguadilla, PR environment, with collaboration across cross-functional teams.

The ideal candidate will have a STEM degree, 2+ years of experience, strong Python/SQL skills, and proficiency in data visualization. Relocation is not offered; some domestic/international travel may occur.

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