Data Analyst - Hybrid

The Structures Company•Arlington, TX

1d•Hybrid

About The Position

Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage in an engineering setting. Conducts statistical analysis on data to ensure correct predictive forecasting or classification. Manages all aspects of end-to-end data processing utilizing customized report building functions of systems. Maintains analytical systems, verifies accuracy of data, and acts as liaison with business. Works with technical developers and data scientists to define business outcomes and govern capabilities. Develops deterministic data pipelines including ETL, linking logic, and data validation using Python. Utilizes AWS core services including S3, Lambda, and boto3 for cloud-based data processing. Performs data cleaning and integration, transforming unstructured documents into clean data. Designs data models for entity linking, including designing keys and joins across datasets. Develops APIs using FastAPI and performs basic frontend-backend integration.

Requirements

Ability to obtain a Secret Security Clearance.
Must be a U.S. Person (as defined by ITAR).
Python 3.10+ with production-level scripting and deterministic pipeline development (ETL, linking logic, data validation).
AWS core services experience including S3, Lambda, and boto3.
Data cleaning and data integration experience for transforming unstructured documents.
Data modeling for entity linking, designing keys and joins across datasets.
SQL experience for data querying and analysis.
Document processing experience for data extraction and transformation.
Dashboarding experience with Tableau.
Databricks experience for big data processing and analytics.
API development experience using FastAPI with basic frontend-backend integration.

Responsibilities

Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage in an engineering setting.
Conducts statistical analysis on data to ensure correct predictive forecasting or classification.
Manages all aspects of end-to-end data processing utilizing customized report building functions of systems.
Maintains analytical systems, verifies accuracy of data, and acts as liaison with business.
Works with technical developers and data scientists to define business outcomes and govern capabilities.
Develops deterministic data pipelines including ETL, linking logic, and data validation using Python.
Utilizes AWS core services including S3, Lambda, and boto3 for cloud-based data processing.
Performs data cleaning and integration, transforming unstructured documents into clean data.
Designs data models for entity linking, including designing keys and joins across datasets.
Develops APIs using FastAPI and performs basic frontend-backend integration.