IT Systems Analyst III – Customer Data Hub; Data & Analytics - Remote

Job Title

IT Systems Analyst III – Customer Data Hub (Data & Analytics) – Remote

Remote within the United States (excluding Hawaii and Alaska)

The Customer Data Hub is a foundational enterprise capability responsible for mastering customer data and distributing it across core applications, customer communication platforms, and analytics consumers. In this role, you will partner with technical and business teams to onboard new source systems and data consumers, define and validate integrations, establish data quality expectations, and support reliable, stable operations—ensuring teams across the organization can confidently use customer data every day.

• Work within an agile environment to design, document, and support Customer Data Hub capabilities for application teams, customer communications, and analytics/reporting consumers.
• Partner with product and business partners, including Business Relationship Management Consultants and data stewards, to translate customer data needs into clear, comprehensive user stories.
• Lead the creation and refinement of user stories, ensuring completeness, prioritization, and traceability; define robust acceptance criteria covering functional behavior, data accuracy, transformation expectations, integration/error handling, and non‑functional requirements.
• Perform customer data mapping and lineage analysis, documenting sources, attributes, and definitions; analyze and define data mastering and transformation logic (standardization, validation, enrichment, reconciliation).
• Support platform modernization and data enablement initiatives, including adoption of cloud‑based data platforms, improvement of data pipelines, and scalable analytics consumption.
• Validate integrations and data outcomes by reconciling source vs. hub vs. downstream results, verifying match/merge behavior and ensuring fixes are regression‑tested.
• Collaborate with engineers and architects on hub configuration, solution design, integration patterns, SQL reviews, and debugging during development and production support cycles.
• Partner with QA teams to validate solution quality using the acceptance criteria authored.
• Support stable operations for the Customer Data Hub through incident triage, root cause analysis, impact assessment, and clear communication; create and maintain runbooks, data dictionaries, and interface documentation.
• Apply data governance and privacy/security practices when documenting, analyzing, and troubleshooting sensitive customer data, partnering with data stewards and control teams as needed.

• Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience).
• 7+ years of experience in systems analysis and/or data‑focused technical roles, including requirements, documentation, and partner collaboration.
• Consistent track record of writing clear, structured user stories with strong acceptance criteria.
• Solid experience translating business needs into data requirements and creating source‑to‑target mappings that support integration and analytics use cases.
• Working knowledge of data mastering and transformation concepts and ability to test/verify outcomes using data analysis.
• Solid background in data integration (batch, API, events) and data quality principles; able to define validation, reconciliation, and monitoring needs for critical customer data flows.
• Experience with Master Data Management solutions (e.g., Reltio), including support for mastering/match‑merge outcomes and data stewardship workflows.
• Comfortable with APIs and integration specifications (schemas/payloads, status codes, error handling) and partnering with engineers to solve data/interface issues.
• Advanced SQL and data analysis skills to profile data, validate outcomes, and support root‑cause analysis across source, hub, and consumer systems.
• Experience in production support (incident triage, root cause analysis, and documentation of fixes/runbooks) for data pipelines and/or integration platforms.
• Familiarity with data governance practices and handling sensitive customer data in accordance with privacy/security requirements.
• Experience with Snowflake or…