Data Analyst

What You'll Do

• 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.
• Leverage AI-assisted tools to enhance workflow analysis and impact assessment, applying independent judgment to validate outputs and ensure accuracy.

Data & Process Validation

• 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.

Quality Assurance & Testing Support

• 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.
• Provide formal validation sign-off for platform releases, including identifying conditions under which releases should not proceed.

Continuous Improvement

• 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.