Information Analyst

College Board•Remote - Virginia, VA

2d•$80,000 - $130,000•Remote

About The Position

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.

Requirements

Bachelor's degree in information systems, Data Analytics, Business, Computer Science, or related field (or equivalent experience).
2–5 years of experience in an analyst, operations, QA, or technical support role.
Strong analytical and problem-solving skills.
Experience working with structured and semi-structured datasets (relational tables, JSON/XML, log files) stored in systems such as Amazon S3 and DynamoDB, extracting insights to support reporting and analysis.
Skilled at reviewing system-generated outputs — messages, results, and data records — to check accuracy, catch inconsistencies, and confirm they meet defined quality standards.
Experience supporting application testing or QA efforts in complex environments, including distributed systems and integrated data pipelines.
Comfortable reading logs, schemas, configuration files, or structured/semi-structured formats (e.g., CSV, JSON).
Ability to work cross-functionally with engineering and product teams.
Strong written communication skills and attention to detail.
Ability to manage multiple assignments in a fast-paced environment.
Curious and growth-oriented: Genuine curiosity about emerging technologies (especially AI-driven tools), comfortable learning new digital tools independently and proactively, and committed to continuous improvement through feedback and iterative learning.
Collaborative communicator and problem-solver: Clear, concise communicator who works effectively across differences, drives impact through data-informed decisions, and prioritizes what matters most while fostering a culture of shared success.
Comfortable leveraging AI-enabled tools to support analysis, documentation, and quality validation while exercising sound judgment and human review.
A passion for expanding educational and career opportunities and mission-driven work
Authorization to work in the United States for any employer

Nice To Haves

Experience in AWS or cloud-based environments.
Familiarity with Agile/Scrum environments.
Exposure automation tools or testing frameworks.
Experience supporting enterprise platforms or internal tooling.

Responsibilities

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.