IT Systems Analyst III – Customer Data Hub, Data & Analytics

Role Overview

• Work within an agile environment to design, document, and support Customer Data Hub capabilities that enable multiple application teams, customer communications, and analytics/reporting consumers
• Partner with product and business partners (including Business Relationship Management Consultants and data stewards) to understand customer data needs and translate them into clear, comprehensive user stories
• Lead the creation and refinement of user stories, ensuring they are complete, prioritized, and traceable, with dependencies and impacts understood across upstream source systems and downstream consumers
• Define robust acceptance criteria that cover functional behavior, data accuracy and data quality, transformation expectations, integration/error handling scenarios, and non-functional requirements
• Perform customer data mapping and lineage analysis, identifying sources, documenting attributes and definitions, and tracing how customer data moves from source applications into the hub and out to downstream consumers
• Analyze and define customer data mastering and transformation logic (standardization, validation, enrichment, and reconciliation) so downstream systems receive accurate, complete, and well-structured data
• Support platform modernization and data enablement initiatives, including adopting cloud-based data platforms, improving data pipelines, and enabling scalable analytics consumption
• Validate integrations and data outcomes by reconciling source vs. hub vs. downstream results, verifying match/merge behavior where applicable, and ensuring fixes are regression-tested
• Collaborate with engineers and architects on hub configuration and 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 you authored
• Support stable operations for the Customer Data Hub through incident triage, root cause analysis, impact assessment, and clear communications; create and maintain runbooks, data dictionaries, and interface documentation to enable repeatable support and reduce repeat issues
• Continuously learn and improve, adapting to new tools and platforms while helping evolve shared standards for customer data definitions, quality, and integrations
• Apply data governance and privacy/security practices when documenting, analyzing, and troubleshooting sensitive customer data, partnering with data stewards and control teams as needed

Requirements

• 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 (standardization, validation, enrichment, reconciliation) and how 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 supporting mastering/match-merge outcomes and data stewardship workflows
• Comfortable working 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 documenting 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 comparable cloud data warehouse technologies
• Experience working with agile teams, partnering with BRMCs, data engineers, QA, and technical partners
• Good communication skills—able to align priorities, explain technical tradeoffs, and coordinate delivery across multiple application teams and data partners
• Strong analytical and problem‑solving skills with exceptional attention to detail

Tech Stack

• Cloud
• SQL

Benefits

• Total compensation package
• Annual bonus eligibility for most roles
• 401(k) with a company match