Data Processing & Geospatial Matrics Analyst

Data Processing & Geospatial Matrics Analyst

Location: Remote

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Role Description:

A Data Processor Analyst is responsible for collecting, processing, validating, and managing data to support business operations and reporting. This role ensures data accuracy, identifies trends, troubleshoots discrepancies, and helps maintain data integrity across systems.

Overview

We are seeking a detail-oriented Data Annotation & Spatial Metrics Analyst to support largescale warehouse analytics by annotating 3D scans, validating spatial metrics, and ensuring high quality data inputs for AI enabled applications. The analyst will work with point clouds, warehouse imagery, and structured/unstructured data to generate accurate capacity, utilization, and spatial measurements that feed mission critical logistics insights.

Key Responsibilities

• Annotate 3D scans (point clouds) within our team s AI-enabled application, including drawing annotations, labeling storage areas, and capturing qualitative data.

• Validate and correct AI generated metrics, ensuring the AI-algorithms correctly capture the space and make manual modifications as needed.

• Perform manual metric calculations as needed (e.g., attainable height, occupied square footage, utilization percentages) when required to ensure data accuracy.

• Work closely with developers and product teams to provide feedback on UI/UX improvements, annotation workflow enhancements, and data consistency issues.

• Support continuous improvement of annotation business rules and help refine documentation and standard operating procedures.

Required Skills & Experience

• Strong attention to detail and ability to spot inconsistencies in numerical and spatial metrics.

• Ability to work with disparate datasets, performing data cleaning, aggregation, and validation to generate meaningful insights consistent with requirements identified for recent annotation focused roles.

• Familiarity with warehouse operations, industrial engineering, supply chain, logistics, architecture, or geospatial analysis.

• Comfort with structured numeric calculations and quality control methodologies.

Preferred Qualifications

• Experience with warehouse operations, industrial engineering, logistics, or DoD facility data.

• Familiarity with AutoCAD environments or geospatial visualization tools.