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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Solutions Analyst - **Company:** The Depository Trust & Clearing Corporation - **Location:** Boston, MA, United States (Remote available) - **Contract:** Internship / Graduate position - **Skills:** Data Analysis, Information Systems, Data Governance, Data Transformation, Data Systems, Document-Oriented Databases, Information Lifecycle Management, Reference Data, Enterprise Data Management, Data Analytics, Data Management - **Published:** September 13, 2026 - **Apply:** https://www.themuse.com/jobs/dtcc/data-solutions-analyst-2027-edge-program ## About the Role * Pursuing a bachelor's degree in Business, Economics, Finance, Data Analytics, Management Information Systems, Information Systems, or a related field * Expected graduation date: May 2027 * Minimum GPA: 3.2 * Authorization to work permanently in the United States without current or future sponsorship. Preferred * Internship, project, research, student organization, volunteer, or leadership experience related to the role. * Interest in financial services and how business, technology, operations, risk, and regulation connect. * Interest in data management, data analytics, digitization, data quality, data governance, modernization, financial services, and technology-enabled business solutions. What makes you successful * Curiosity and a willingness to learn in a complex industry. * Strong analytical thinking, problem-solving, and attention to detail. * Clear written and verbal communication. * Collaboration, accountability, adaptability, and follow-through. * Ability to ask thoughtful questions, use feedback, and connect your work to team goals. ## Description As a Data Solutions Analyst in Enterprise Data Solutions, you will help support enterprise data programs that improve how DTCC manages, governs, modernizes, and uses data across the organization. This team supports master and reference data, data stewardship, data lifecycle activities, data quality, reporting, analytics, and enterprise data platforms, and your work will contribute to trusted data, clearer insights, operational efficiency, and business modernization. At DTCC, we help power the global financial markets by providing critical infrastructure that supports the safe and efficient processing of securities transactions. In this role, you will learn how your business area contributes to that broader mission while building practical skills through meaningful work, coaching, and structured development. About the EDGE Program EDGE is DTCC's 18-month early-career development program for recent graduates. The program combines hands-on business experience, structured learning, mentorship, networking, and regular feedback to help analysts build technical, functional, and leadership capabilities. What you will gain * A structured onboarding experience, including Welcome Week and program orientation. * Hands-on experience through meaningful work aligned to business priorities. * Exposure across the team through projects, shadowing, and stretch assignments. * Monthly learning sessions, business education, professional development, and opportunities to hear from leaders and subject matter experts. * Regular feedback, including a 90-day feedback and assessment milestone, manager coaching, and program check-ins. * Mentorship, networking, and opportunities to build relationships across DTCC., * Analyze data, processes, requirements, and stakeholder needs to identify trends, gaps, risks, and opportunities to improve data quality, usability, and business outcomes. * Support master and reference data, data stewardship, data governance, and data modernization initiatives that help create trusted, authoritative, and fit-for-purpose data across DTCC. * Document data-related business requirements, data definitions, analysis outcomes, process flows, or supporting materials used for modernization, reporting, and data quality monitoring. * Partner with business, functional, technology, and data stakeholders to support data lifecycle activities, reporting needs, platform enhancements, and enterprise data deliverables. * Contribute to reporting, presentations, process improvements, and cross-functional projects that strengthen data transparency, governance, operational efficiency, and decision-making. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)