Hybrid AI & Data Analytics Analyst (Python & AWS)

Butler America Aerospace; Town of Texas (WI); On-site; USD 92,000 - 103,000; Full time

Benefits offered by this job

401K

Medical

Dental

Vision

Sick time

Job summary

Butler America Aerospace seeks a Data Analyst in Arlington, TX to develop data pipelines, perform modeling, and support decision-making in a fast-paced engineering setting.

Responsibilities include data processing, analytics, dashboards, and collaboration with data scientists and developers. Requires Python, AWS, SQL, Tableau, Databricks, and API work; on-site with some remote flexibility and ability to obtain security clearance.

Qualifications

• Python production-level scripting with ETL pipelines.
• AWS core services: S3, Lambda, boto3.
• Data cleaning and integration from unstructured sources.
• Entity linking data modeling across datasets.
• SQL proficiency for querying and data manipulation.
• Document processing for structured outputs.
• Dashboarding with Tableau.
• Databricks for data engineering.
• API development with FastAPI and basic frontend-backend integration.

Responsibilities

• Develops, inspects, mines, transforms and models data to improve productivity and decisions in engineering contexts.
• Performs statistical analysis for predictive forecasting or classification.
• Manages end-to-end data processing with custom reports.
• Maintains analytical systems and data accuracy; liaises with business stakeholders.
• Supports leadership with status reporting and progress tracking.
• Collaborates with developers and data scientists to define outcomes and govern capabilities.
• Manages supplier tasks and access permissions to ensure security compliance.

Skills

Python

AWS

Data Cleaning

Data modeling

SQL

Document processing

Tableau

Databricks

API development

Tools

Tableau

Databricks

FastAPI

Job description

Butler America Aerospace seeks a Data Analyst in Arlington, TX to develop data pipelines, perform modeling, and support decision-making in a fast-paced engineering setting.

Responsibilities include data processing, analytics, dashboards, and collaboration with data scientists and developers. Requires Python, AWS, SQL, Tableau, Databricks, and API work; on-site with some remote flexibility and ability to obtain security clearance.