DATA ANALYST

Microsoft; Redmond (WA); On-site; USD 52,000 - 59,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) Retirement Plan

Life Insurance

Disability coverage

Job summary

Microsoft is seeking a Data Analyst to support OCR processing and large dataset management for AI model training. You will monitor workflows, ensure metadata accuracy, and coordinate Azure storage transfers for dataset deliveries.

The role emphasizes quality control, logging, and standard operating procedures to support model-training data pipelines. Onsite in Redmond with contract duration of 8 months.

Qualifications

• Minimum 2 years hands-on data analysis, data operations, or dataset management.
• Experience organizing files in cloud storage environments.
• Experience with AI training-data operations is a plus.
• Background at a large technology company is preferred.
• Proficiency with PDF, text, CSV, and JSON formats.

Responsibilities

• Operate and monitor OCR workflows, processing queues, and job status.
• Review logs to identify exceptions and escalate issues to engineers.
• Maintain batch tracking records and coordinate reruns and priorities.
• Validate OCR outputs against source documents using sampling methods.
• Identify missing pages, unreadable text, and formatting problems.
• Run cleaning and validation tools and flag questionable changes.
• Maintain issue logs and track corrections through resolution.
• Summarize quality trends and suggest process improvements.
• Organize data using folder structures and versioning standards.
• Prepare dataset delivery packages with manifests and quality summaries.
• Manage uploads, downloads, and transfers in Azure storage.
• Verify transfer completion and integrity using established tools.
• Investigate routine transfer failures and coordinate with admins.
• Follow data-access and retention procedures and maintain delivery records.

Skills

Attention to detail

Communication skills

Documentation

Risk awareness

Problem solving

Education

Bachelor of Science degree

Tools

Azure Storage Explorer

AzCopy

SQL

Python

Power BI

Job description

The contract Data Analyst role will support Microsoft OCR processing and the management of large document and text datasets used for AI model training. The position is focused on monitoring workflow quality, maintaining dataset inventories, and coordinating Azure storage transfers and delivery packages.

Role Overview

In this role, you will operate and monitor existing OCR workflows, review processing outputs and logs for exceptions, and help ensure datasets are delivered with accurate metadata and documented quality findings. You will also manage uploads, downloads, and transfers in Azure storage to support dataset delivery for model-training use.

Responsibilities

• Operate and monitor OCR workflows, including processing queues, job status, completion rates, and failed or stalled batches
• Review logs and processing reports to identify exceptions, execute documented recovery steps, and escalated technical issues to engineers
• Maintain batch tracking records and coordinate reruns, priorities, and outstanding processing tasks
• Review OCR outputs against source documents using sampling techniques and established quality criteria
• Identify missing pages, empty outputs, duplicate records, unreadable text, formatting problems, and incomplete content
• Run existing cleaning and validation tools, review results, and flag questionable changes for further investigation
• Maintain issue logs, categorize recurring errors, and track corrections through resolution
• Summarize quality trends and recommend improvements to review procedures and data handling
• Maintain inventories linking source documents, OCR outputs, cleaned data, and dataset versions
• Validate metadata including document identifiers, titles, subjects, languages, page counts, and processing status
• Reconcile batch manifests and tracking records against actual files to identify missing, mismatched, or duplicate 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 uploads, downloads, and transfers of source files and generated datasets in Azure storage
• Verify transfer completion, file counts, and integrity using established tools and reports
• Investigate routine transfer failures, incorrect paths, and access issues; coordinate with administrators when needed
• Follow approved access, retention, and data-sharing procedures; maintain records of dataset deliveries and changes
• Maintain operational trackers and dashboards covering processing progress, backlog, quality, and dataset readiness
• Provide concise updates on completed batches, unresolved issues, and delivery risks
• Maintain standard operating procedures and support handoffs between data operations, engineering, and model-training teams

Requirements

• Minimum 2 years of hands‑on experience in data analysis, data operations, data quality assurance, or dataset management
• Demonstrated experience managing and organizing files within cloud storage environments
• Prior experience working with AI training‑data operations is a plus
• Background at a large technology company or enterprise environment is strongly preferred
• Bachelor of Science degree required
• Hands‑on experience with cloud storage platforms, including file organization, uploads, and downloads
• Proficiency with common document and data formats including PDF, text, CSV, and JSON
• Experience checking data completeness, accuracy, consistency, and metadata quality
• Ability to use existing dashboards, processing tools, and logs to monitor workflows and investigate exceptions
• Strong attention to detail with the ability to manage repetitive validation tasks consistently while prioritizing exceptions
• Clear written and verbal communication skills with strong documentation practices
• Ability to anticipate risks and follow issues through to resolution
• Familiarity with Azure Storage Explorer, AzCopy, or comparable file‑transfer tools (preferred)
• Basic SQL skills for querying, validation, and reconciliation (preferred)
• Basic Python knowledge sufficient to run existing scripts or make minor adjustments (preferred)
• Experience with Power BI or similar operational reporting tools (preferred)
• Familiarity with dataset versioning, source traceability, access controls, and human‑review workflows (preferred)

Technologies

• Azure
• Azure Storage Explorer
• AzCopy
• PDF
• CSV
• JSON
• SQL
• Python
• Power BI

Contract Details

• Location: Redmond, WA (Onsite)
• Duration: 8 months
• Pay Range: $37.50 - $42.50 per hour
• Weekly Schedule: 40 hours
• Job Status: Non-Exempt
• Job Type: Contract

Benefits

• Medical, dental & vision
• Hospital plans
• 401(k) Retirement Plan – Pre‑tax and Roth post‑tax contributions available
• Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
• Company paid short and long‑term disability
• Health & Dependent Care Spending Accounts (HSA & DCFSA)
• Employee Assistance Program
• Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave