Data Analyst (Contract)

Quick Facts

• Location: Redmond, WA (Onsite)
• Duration: 8 months
• Schedule: 40 hours/week
• Pay range: $37.50–$42.50 per hour

Description

The Data Analyst (Contract) role supports OCR processing and the management of large document and text datasets used for AI model training. You will monitor OCR pipelines, review generated data, maintain metadata and inventories, and manage Azure storage uploads/downloads. You’ll work with engineers and applied scientists to identify issues, coordinate reprocessing, and ensure datasets are complete and organized for downstream use.

Responsibilities

• Operate and monitor OCR workflows (queues, job status, completion rates, failed/stalled batches)
• Review logs and processing reports to identify exceptions, perform documented recovery steps, and escalate issues
• Maintain batch tracking and coordinate reruns, priorities, and outstanding processing tasks
• Review OCR outputs against source documents using sampling and quality criteria
• Identify missing pages, empty outputs, duplicates, unreadable text, formatting problems, and incomplete content
• Run existing cleaning and validation tools; flag questionable changes
• Maintain issue logs, categorize recurring errors, and track corrections through resolution
• Summarize quality trends and recommend improvements
• Maintain inventories linking source documents, OCR outputs, cleaned data, and dataset versions
• Validate metadata (identifiers, titles, subjects, languages, page counts, processing status)
• Reconcile batch manifests and tracking records against actual files to find missing or mismatched items
• Organize generated data using agreed folder structures, naming conventions, and versioning standards
• Prepare dataset delivery packages with manifests, quality summaries, and documented exceptions
• Manage Azure storage uploads, downloads, and transfers; verify transfer completion, file counts, and integrity
• Investigate transfer failures, incorrect paths, and access issues; coordinate with administrators
• Follow access, retention, and data-sharing procedures and maintain delivery/change records
• Maintain operational trackers and dashboards for progress, backlog, quality, and dataset readiness
• Provide concise updates on completed batches, unresolved issues, and delivery risks
• Support handoffs between data operations, engineering, and model-training teams using SOPs

Requirements

• Minimum 2 years of hands-on experience in data analysis, data operations, data quality assurance, or dataset management
• Demonstrated experience organizing files within cloud storage environments
• Bachelor of Science degree required
• Hands-on experience with cloud storage platforms (uploads, downloads, and file organization)
• Proficiency with PDF, text, CSV, and JSON
• Experience ensuring data completeness, accuracy, consistency, and metadata quality
• Ability to use dashboards, processing tools, and logs to monitor workflows and investigate exceptions
• Strong attention to detail and ability to prioritize exceptions
• Clear written and verbal communication with strong documentation
• Ability to anticipate risks and drive issues to resolution

Benefits

• Medical, dental & vision
• Hospital plans
• 401(k) Retirement Plan (pre-tax and Roth post-tax contributions)
• Life Insurance (company paid Basic Life and AD&D plus voluntary coverage)
• Short- and long-term disability
• Health & Dependent Care Spending Accounts (HSA & DCFSA)
• Employee Assistance Program
• Time Off/Leave (PTO, paid family leave, parental leave)