Analytics Engineer
Openkyber
Data Processing/ Analytics Manager Location: Remote
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.
OverviewWe 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.
Responsibilities Analytics and Enterprise Data SynthesisExtract, compile, and synthesize data inputs to support the development of the NOM, including, but not limited to, data from WU surveys, WMS, EBS, and other enterprise systems.
Provide NOM Support: Support development and use of the NOM capability to inform global positioning for government-owned stock based on cost, storage capability, workload, and resilience considerations.
The Contractor provides, data preparation and data visualizations. In support of this effort, the Contractor shall:
Data Preparation, Architecture Documentation, and IngestionSupport documentation of model inputs and data structures required to execute the three (3) scenario categories, including data definitions, field-level mapping, and assumptions documentation.
Support methodologies to cleanse and prepare Government-provided data for NOM ingestion, including transformation logic and quality checks aligned to Government direction.
Support methodologies to incorporate business rules, constraints, and parameters into NOM-ready formats (e.g., rule tables, constraint definitions, parameter sets), as directed.
Data Visualization SupportDevelop data analytics and visualization products that enable government stakeholders to interpret NOM scenarios and outputs (e.g., scenario comparisons, cost/workload/resilience impacts, tradeoffs, sensitivities), aligned to Government direction.
For applications and inquiries, contact:View email address on us.fitly.work
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