Data Analyst [AQ-25591]

Aquent; Redmond; Híbrido; AUD 90.000 - 120.000; Jornada completa

Descripción de la vacante

Aquent is partnering with a global technology pioneer at the forefront of artificial intelligence development to find a meticulous and proactive data professional ready to fuel the next generation of intelligent systems.

In this role you will manage vast quantities of document and text data, streamline OCR processes, maintain pristine data inventories, and ensure traceability and quality for AI model training across cloud storage environments.

Formación

• 2+ years of hands-on experience in data analysis, data operations, data quality assurance, or dataset management.
• Experience with cloud storage, including file organization, uploads, and downloads.
• Experience checking data completeness, accuracy, consistency, and metadata quality.
• Ability to use dashboards, processing tools, and logs to monitor workflows and investigate exceptions.
• Familiarity with PDF, text, CSV, and JSON formats.
• Strong attention to detail, documentation, and clear communication.

Responsabilidades

• Operate and monitor OCR workflows and processing queues.
• Review logs to identify exceptions and perform recovery steps.
• Maintain batch tracking records and coordinate reruns.
• Review OCR outputs against source documents for discrepancies.
• Run data cleaning/validation tools and flag questionable changes.
• Manage issue logs and track corrections to resolution.
• Maintain inventories linking source documents, OCR outputs, and datasets.
• Validate metadata such as document IDs, titles, languages, and page counts.
• Reconcile batch manifests with actual files to find mismatches.
• Prepare dataset delivery packages with manifests and quality summaries.
• Manage transfers in Azure storage and verify data integrity.
• Document SOPs and facilitate handoffs between teams.

Conocimientos

Data quality

Cloud storage

Data pipelines

Quality assurance

Documentation

Herramientas

Azure Storage Explorer

AzCopy

Power BI

SQL

Python

Descripción del empleo

Aquent is proud to partner with a global technology pioneer at the forefront of artificial intelligence development to find a meticulous and proactive data professional ready to fuel the next generation of intelligent systems. In this role, you will have a direct, tangible impact on the quality and performance of cutting-edge AI models by ensuring the integrity and readiness of critical datasets. By managing vast quantities of document and text data, streamlining OCR processes, and maintaining pristine data inventories, your work will directly translate into groundbreaking advancements in artificial intelligence that impact millions of users worldwide.

About The Partner

Our partner is an innovative and leading technology company dedicated to pushing the boundaries of what is possible. They cultivate a culture of excellence, collaboration, and continuous learning, where every team member contributes to revolutionary technological advancements. Joining this team means working alongside brilliant engineers and applied scientists in a dynamic, future-focused environment where your efforts shape the future of technology.

The Opportunity and Your Impact

We are seeking a detail-oriented data enthusiast to champion data operations and quality assurance for AI model training. In this collaborative and vital position, you will oversee critical data pipelines, manage cloud storage environments, and ensure that only the highest-quality data feeds into advanced AI systems. Your keen eye for detail and proactive problem-solving will streamline workflows, resolve technical exceptions, and establish complete traceability for massive datasets, making you an indispensable part of the AI development lifecycle.

What You'll Do

• Operate and monitor existing OCR workflows, tracking processing queues, job status, and completion rates, while identifying and addressing failed or stalled batches.
• Review logs and processing reports to pinpoint exceptions, execute documented recovery steps, and elevate technical issues to engineering teams as needed.
• Maintain comprehensive batch tracking records, coordinating reruns, prioritizing tasks, and managing outstanding processing activities.
• Conduct thorough reviews of OCR outputs against source documents using sampling and established quality criteria to identify discrepancies such as missing pages, empty outputs, duplicate records, unreadable text, or incomplete content.
• Run and evaluate results from existing cleaning and validation tools, flagging questionable changes for further investigation and resolution.
• Manage issue logs, categorize recurring errors, and track corrections through to their successful resolution, summarizing quality trends and recommending process improvements.
• Maintain detailed inventories that link source documents, OCR outputs, cleaned data, and various dataset versions for complete traceability.
• Validate critical metadata including document identifiers, titles, subjects, languages, page counts, and processing status to ensure accuracy.
• Reconcile batch manifests and tracking records against actual files to identify and resolve any missing, mismatched, or duplicate items.
• Organize generated data adhering to agreed-upon folder structures, naming conventions, and versioning standards for optimal accessibility and management.
• Prepare comprehensive dataset delivery packages, complete with manifests, quality summaries, and documented exceptions.
• Manage the uploads, downloads, and transfers of source files and generated datasets within Azure storage environments.
• Verify transfer completion, file counts, and data integrity using established tools and reports.
• Investigate and resolve routine transfer failures, incorrect paths, and access issues, coordinating with administrators when necessary.
• Adhere to approved access, retention, and data-sharing procedures, maintaining meticulous records of dataset deliveries and changes.
• Maintain operational trackers and dashboards to provide clear visibility into processing progress, backlog, quality, and dataset readiness.
• Provide concise and timely updates on completed batches, unresolved issues, and potential delivery risks.
• Maintain standard operating procedures and facilitate smooth handoffs between data operations, engineering, and model-training teams.

Required Skills & Experience

• 2+ years of hands-on experience in data analysis, data operations, data quality assurance, or dataset management.
• Demonstrated hands-on experience with cloud storage, including file organization, uploads, and downloads.
• Proven experience in checking data completeness, accuracy, consistency, and metadata quality.
• Ability to effectively utilize existing dashboards, processing tools, and logs to monitor workflows and investigate exceptions.
• Familiarity with common document and data formats such as PDF, text, CSV, and JSON.
• Strong attention to detail, excellent documentation skills, and clear communication abilities.
• Capacity to consistently manage repetitive validation tasks while effectively prioritizing exceptions and seeing issues through to resolution.

Preferred Skills

• Experience specifically with AI training-data operations.
• Familiarity with Azure Storage Explorer, AzCopy, or comparable file-transfer tools.
• Basic SQL skills for querying, validation, and reconciliation tasks.
• Basic Python knowledge for running existing scripts or making minor adjustments (advanced coding is not required).
• Experience with Power BI or similar operational reporting tools for data visualization.
• Familiarity with concepts such as dataset versioning, source traceability, access controls, and human-review workflows.

Client Description

Join a global technology leader driving innovation and empowering people and organizations worldwide to achieve more. Here, you'll collaborate with passionate, diverse teams to create impactful solutions that shape the future. The culture prioritizes growth, inclusion, and purpose - where your ideas are valued, and your work drives real change. Wherever your passion lies and wherever your career is headed - you'll play a role in projects that touch billions of lives. With flexible work options and a supportive environment, you’ll have the tools to thrive both personally and professionally. Be part of something that truly matters.

Why work with AQUENT? Check out our awesome benefits: https://aquent.com/talent/talent-benefits

Aquent is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.