IT Systems Analyst III – Customer Data Hub, Data & Analytics
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Job Description
IT Systems Analyst III developing capabilities for Customer Data Hub to support analytics and customer communications. Collaborating with business and technical teams on data requirements and integrations.
Responsibilities:
- 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.
- A proactive, dedicated attitude and the ability to quickly learn new tools and concepts.
Benefits:
- Total compensation package
- Annual bonus eligibility for most roles
- 401(k) with a company match
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