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

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🔥 2 hours ago

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Logo of AAA

AAA

5001 - 10000 employees

Founded 1902

🚗 Transport

👥 B2C

Transport • B2C • Travel

AAA is a federation of affiliated automobile clubs, offering various travel-related services and products primarily for its members. It provides emergency roadside assistance, travel planning tools, and member discounts both domestically and internationally. Each club operates independently within its own geographical area, serving its local members while adhering to AAA's overarching standards. AAA also sells travel products like maps and guides, offering resources to assist with international travel. The organization facilitates a network where membership benefits, such as global discounts and emergency services, are extended to international members traveling in the United States and vice versa.

📋 Description

• 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

🏖️ Benefits

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

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