AWS Information Analyst

Information Analyst

Profile: 2-year+ information analyst with strong data management, AWS and QA testing (user); experience with business and technical workflows, strong communicator, detail oriented, ability to work in fast-paced environment with time-sensitive deliverables.

About the Team: The Information Management team supports reliable operation and continuous improvement of enterprise platforms that enable privacy-focused technology and workflows across the Client. Our work ensures that systems supporting data handling, consent, and access-related processes operate predictably, scale responsibly, and provide clear, accurate outputs to the teams who rely on them. We partner closely with engineering, product, privacy, and operational teams to help translate complex requirements into well-documented workflows, strengthen testing and validation practices, and improve system transparency. Our focus is on platform execution — ensuring configurations, data inputs, and system behaviors align with expected outcomes. As privacy technology continues to evolve, our team helps enable safe scaling by supporting implementation, validation, and documentation efforts that reduce operational risk and improve clarity for downstream teams. We are a collaborative, detail-oriented team that values precision, practical problem-solving, and continuous improvement. Our goal is to reduce friction, improve system understanding, and help privacy-enabled platforms function effectively across the organization.

About Opportunity: The Information Analyst is responsible for the effective operation and continuous improvement of enterprise platforms and application workflows, ensuring processes are clearly defined, data inputs meet established quality standards, and system behaviors align with business and technical expectations. This role focuses on analytical ownership of platform behavior, validation strategy, and workflow design. The Analyst partners with engineering, product, and business teams to evaluate system performance, define functional expectations, and inform decisions that ensure systems operate predictably and scale effectively. This is a hands-on analytical role that exercises independent judgment in analyzing system behavior, determining validation approaches, and driving improvements that enhance platform reliability, transparency, and operational efficiency.

In this role you will:

• Own the analysis of system workflows, defining inputs, outputs, dependencies, and expected behaviors to ensure alignment with business and technical requirements.
• Identify, define, and maintain system behaviors, constraints, and edge cases, establishing clarity on how platforms are expected to operate.
• Evaluate platform changes and determine downstream impact, providing recommendations that inform cross-functional decisions and release readiness.
• Approve or reject configuration changes prior to release, ensuring consistency with defined system logic and operational standards.
• Leverage AI-assisted tools to enhance workflow analysis and impact assessment, applying independent judgment to validate outputs and ensure accuracy.
• Own validation of structured data inputs used by enterprise applications, ensuring alignment with defined quality standards and business requirements.
• Evaluate datasets, configurations, and system outputs to determine accuracy, completeness, and consistency, applying independent judgment to identify risks and gaps.
• Lead impact analysis when application logic or workflows change, assessing downstream effects and recommending appropriate actions.
• Identify, prioritize, and drive resolution of data inconsistencies and defects in partnership with engineering and product teams.
• Define and enforce standards for workflow design, validation, and documentation across supported platforms.
• Leverage AI-enabled analytical tools to detect patterns, anomalies, and systemic issues, informing decisions that improve data reliability and process effectiveness.
• Define test strategies, scenarios, and validation criteria to ensure platform changes meet functional and operational requirements.
• Lead functional and regression validation efforts for platform updates, ensuring alignment between expected and actual system behavior.
• Evaluate and document system outcomes against defined expectations, identifying gaps, risks, and areas requiring remediation.
• Identify patterns in recurring issues, conduct root cause analysis, and drive corrective actions in partnership with technical teams to improve system reliability.
• Own the development, quality, and lifecycle of user-facing documentation that defines system processes, workflows, and expected behaviors.
• Establish and maintain standards for documentation structure, clarity, and accessibility across internal knowledge repositories.
• Serve as a subject matter expert on platform functionality and workflow design, advising stakeholders and providing guidance on system capabilities and requirements.
• Define and communicate integration and testing expectations, ensuring alignment across cross-functional teams.
• Manage traceability across workflows, requirements, tickets, and releases to ensure transparency and alignment throughout the development lifecycle.
• Own release readiness from a documentation and validation perspective, ensuring all required materials, evidence, and configurations meet defined standards prior to deployment.
• Author and approve release communications, ensuring stakeholders are informed of relevant changes and impacts.
• Oversee post-release issue identification and resolution, ensuring remediation efforts are prioritized and completed effectively.
• Provide formal validation sign-off for platform releases, including identifying conditions under which releases should not proceed.
• Identify, prioritize, and drive initiatives that streamline processes, reduce operational friction, and improve platform effectiveness.
• Evaluate workflows and documentation practices to determine improvement opportunities and implement solutions with measurable impact.
• Assess and apply AI-enabled tools to enhance analytical efficiency, documentation quality, and validation approaches, exercising judgment to ensure responsible and effective use.

This role exercises independent judgment and discretion in matters of significance related to platform behavior, validation standards, and release readiness. The Information Analyst is responsible for defining functional expectations, establishing validation approaches, and making recommendations that are relied upon by engineering, product, and operational teams. The Analyst has authority to:

• Establish and enforce standards for workflow definition, validation, and documentation
• Approve or reject configuration changes based on alignment with defined system behavior and quality criteria
• Determine readiness for release from a validation and documentation perspective, including identifying and escalating risks that may block deployment
• Recommend and implement process improvements that materially impact platform reliability, data quality, and operational efficiency
• This role operates with limited oversight in its area of responsibility and is accountable for decisions that influence system integrity, downstream operations, and user experience.

Must Have: application testing or QA efforts • Bachelor's degree in information systems, Data Analytics, Business, Computer Science, or related field (or equivalent experience). • Comfortable reading logs, schemas, configuration files, or structured/semi-structured formats Information analyst, operations, QA, or technical support experience structured and semi-structured datasets