Senior Data Systems Analyst

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The College Board

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1900

📚 Education

🤝 Non-profit

Education • Non-profit

The College Board is a mission-driven, not-for-profit organization dedicated to promoting excellence and equity in education. It connects students to college success and opportunity by supporting them in building essential skills for higher education and removing barriers to access. The College Board operates with a focus on respect, diversity, inclusion, and collaboration, with a diverse and dedicated team of professionals. Based in several locations across the United States, they strive to modernize operations and increase their digital footprint, supporting students and families nationwide.

📋 Description

• Analyze enterprise platform workflows, inputs, outputs, dependencies, constraints, edge cases, and expected behaviors. • Evaluate platform changes and downstream impacts, and provide recommendations for cross-functional decisions and release readiness. • Approve or reject configuration changes before release based on defined system logic and quality standards. • Validate structured data inputs, datasets, configurations, and system outputs for accuracy, completeness, and consistency. • Lead impact analysis for application logic and workflow changes and drive resolution of data inconsistencies and defects. • Define test strategies, scenarios, and validation criteria for platform changes. • Lead functional and regression validation and document outcomes, gaps, risks, and remediation needs. • Conduct root cause analysis and drive corrective actions to improve system reliability. • Own user-facing documentation, documentation standards, traceability, release readiness, and release communications. • Provide validation sign-off for releases and oversee post-release issue identification and resolution. • Identify and implement continuous-improvement initiatives using AI-enabled analytical tools where appropriate. • Partner with engineering, product, business, privacy, and operational teams as a subject matter expert on platform functionality and workflow design.

🎯 Requirements

• Bachelor's degree in information systems, Data Analytics, Business, Computer Science, or related field (or equivalent experience). • 5+ years of experience as a data systems analyst or similar role analyzing, testing, and validating data through pipelines and systems. • Hands-on experience with AWS S3 and similar cloud storage systems. • Experience working with structured and semi-structured datasets, including relational tables, JSON/XML, and log files. • Comfortable testing and troubleshooting APIs and JSON payloads. • Ability to read logs, schemas, and configuration files in formats such as CSV and JSON. • Experience testing data and systems within CI/CD pipelines, distributed systems, and integrated data pipelines. • Strong analytical and problem-solving skills. • Ability to work cross-functionally with engineering and product teams. • Ability to manage multiple assignments in a fast-paced environment. • Curiosity about emerging technologies, especially AI-driven tools, and ability to learn digital tools independently. • Clear, concise communication and data-informed decision-making. • Comfortable using AI-enabled tools with sound judgment and human review. • Passion for expanding educational and career opportunities and mission-driven work. • Authorization to work in the United States for any employer. • Nice to have: proficiency with Python and pandas for data cleansing, transformation, and validation. • Nice to have: familiarity with Agile/Scrum environments. • Nice to have: exposure to automation tools or testing frameworks. • Nice to have: experience supporting enterprise platforms or internal tooling.

🏖️ Benefits

• Annual bonuses • Opportunities for merit-based raises and promotions • Mission-driven workplace where your impact matters • Team investment in your development and success • Comprehensive benefits package • Remote-first workplace policy • Occasional business travel to meet in person