Job Title: Data Processing Analyst
Location: Remote
Duration: Long Term Contract
Technical Skills: Years/Level of Experience
Data Processing (1-3 yrs experience)
Data Analysis & Interpretation (1-3 yrs experience)
Project Documentation (1-3 yrs experience)
Geospatial Data (1-3 yrs experience)
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 AIenabled applications. The analyst will work with point clouds, warehouse imagery, and structured/unstructured data to generate accurate capacity, utilization, and spatial measurements that feed missioncritical 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 AIgenerated 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 annotationfocused roles.
- Familiarity with warehouse operations, industrial engineering, supply chain, logistics, architecture, or geospatial analysis.
- Comfort with structured numeric calculations and qualitycontrol methodologies.
Preferred Qualifications
- Experience with warehouse operations, industrial engineering, logistics, or DoD facility data.
- Familiarity with AutoCAD environments or geospatial visualization tools.
Education Level : Associate’s or Bachelor’s degree in Business, Industrial Systems Engineering, Supply Chain & Logistics, Geospatial Science, Data Management, or related field
Special Requirements
Work Authorization: s
Clearance Required: Public Trust
Never miss an opportunity! Create an alert based on the job you applied for.
