Cleared Data Analyst (5553)

SMX is hiring a Data Analyst responsible for profiling data sources, documenting data lineage, and aligning data to a common domain model that powers enterprise data products, APIs, and analytics. Working closely with data engineers, architects, and build teams, the Data Analyst translates how data is structured and how it moves - from source systems through transformation to consumption - into clear, well-governed specifications. This role is essential for turning fragmented, inconsistent source data into standardized, trustworthy, and reusable data the enterprise can rely on., + Profile data sources to assess structure, quality, completeness, and relationships, and document findings that inform mapping and design decisions.

• Document end-to-end data lineage - tracing how data moves across systems through its full lifecycle, from origin through transformation to consumption.

• Align source data to a canonical/domain data model, mapping source elements to target structures to support database design and consistent enterprise definitions.

• Apply data elements to API schema design, translating business and data requirements into schemas that build teams can implement.

• Develop and document data rules - standardization, validation, and quality rules - and apply Master Data Management (MDM) and well-managed data practices.

• Produce clear technical documentation (source-to-target mappings, data dictionaries, metadata, and lineage artifacts) that other teams can build from.

• Communicate technical requirements to engineering and build teams, and gather and clarify data requirements directly with clients and stakeholders.

• Collaborate with data engineers, architects, and analysts to ensure mapped data meets downstream needs for products, APIs, and analytics.

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Information Systems, or a related field.

• 2-6 years of professional experience in data analysis, data mapping, data modeling, or a related data role.

• Strong SQL skills and the ability to profile, query, and analyze data across multiple source systems.

• Experience with data mapping and source-to-target documentation.

• Working knowledge of data modeling and domain/canonical data models, schema design, and database design concepts.

• Understanding of the end-to-end data lifecycle and how data moves across integrated systems.