<p>Kforce has a client that is seeking a remote Data Analyst to join their team.</p> <p>Summary: The Data Analyst is responsible for interpreting and analyzing data from complex sources like ERP, HCM, and CRM to support data-driven decision making and ensure the accuracy, integrity, and usability of information within the organization's Data Lakehouse. This hands-on role focuses on requirements translation, source-to-target mapping, dimensional modeling support, ELT/ETL validation, testing support and data quality. Working closely with Business teams, Data Architects, and Engineers, the Data Analyst transforms business processes into well-structured, secure, and reliable data models and pipelines, enabling the Data Lakehouse to serve as a trusted foundation for analytics, reporting and AI products.</p> <p>Responsibilities:</p> <ul> <li>Work closely with business stakeholders to gather, validate, and clarify data and reporting requirements </li><li>Translate business needs into detailed functional and technical requirement documents </li><li>Develop comprehensive Source-to-Target Mapping (STTM/STM) documents capturing field-level data logic </li><li>Create detailed Business Rules, Data Definitions, and Data Transformation documentation </li><li>Perform complete data lineage analysis across Snowflake, APIs, upstream sources, and reporting layers </li><li>Assist in data modeling and design aligned with Medallion architecture </li><li>Conduct data profiling, validation, and reconciliation using Snowflake SQL </li><li>Work with REST API data integrations, including reading API specifications, understanding payloads, and mapping to Snowflake tables </li><li>Collaborate with data engineers, ETL/ELT developers, and QA to ensure accurate interpretation of the requirements </li><li>Support UAT and resolve data-related gaps through iterative testing and validation </li><li>Mentor and guide more junior team members* Bachelor of Science (BS) in Computer Science or Information Systems (or equivalent work experience) </li><li>7+ years of Data Analyst or Business Data Analyst experience in enterprise data environments </li><li>Proven experience with programming languages such as SQL and Python for data validation, profiling, reconciliation, and analytics </li></ul> <p>Strong hands-on Snowflake experience is required, including:</p> <ul> <li>Ability to construct & optimize complex SQL queries </li><li>Variant/JSON parsing </li><li>Schema and stage understanding </li><li>Performance analysis and troubleshooting </li><li>Working experience in Medallion Architecture (Bronze, Silver, Gold data layers) including mapping data flows across layers </li><li>Proven experience with API-based data ingestion (REST APIs, JSON/XML) </li><li>Ability to interpret API documentation and create field mappings for Snowflake ingestion </li><li>Experience building Source-to-Target mapping documents and transformation rules </li><li>Strong understanding of data lineage, metadata traceability, and impact analysis </li><li>Experience writing BRDs, FRDs, mapping documents, and business rule specifications </li><li>Effective communication skills with ability to work directly with business stakeholders </li><li>Excellent analytical and problem-solving skills </li></ul>