Technical Data Analyst

Pay Range: $40 - $50/hr. The pay rate may differ depending on your skills, education, experience, and other qualifications.

Featured Benefits:

• Medical Insurance in compliance with the ACA.
• 401(k).
• Sick leave in compliance with applicable state, federal, and local laws.

Profile: 2-year+ information analyst with strong data management 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 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 behaviours align with business and technical expectations.
• This role focuses on analytical ownership of platform behaviour, 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 behaviour, determining validation approaches, and driving improvements that enhance platform reliability, transparency, and operational efficiency. 

Operational Analysis & Platform Support (20%)

• 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.

Data & Process Validation (20%)

• 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 (25%)

• 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.

Continuous Improvement (5%)

• 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.