Remote Senior SQL Data Business Analyst (Sales)

RESPONSIBILITIES

• Kforce has a client in need of a Remote Senior SQL Data Business Analyst (Sales).
• Analyze complex datasets across enterprise applications, databases, and cloud-based data platforms
• Partner with business and technology teams to translate requirements into scalable data and analytics solutions
• Use SQL to query, validate, reconcile, and troubleshoot data across multiple source systems
• Define data mappings, transformation logic, validation rules, metadata, lineage, and technical requirements
• Support ETL/data pipeline initiatives and the movement of structured and unstructured data into enterprise data environments
• Monitor data quality, investigate discrepancies, perform root cause analysis, and recommend technical improvements
• Maintain data definitions, master/reference data, and documentation supporting enterprise data architecture
• Validate dashboards, reports, KPIs, and analytical outputs for accuracy and consistency
• Identify opportunities to automate data processes and improve scalability, reliability, and performance
• Collaborate with data engineers, architects, analysts, product teams, and senior stakeholders on data initiatives

REQUIREMENTS

• Bachelor's degree in Computer Science, Data Science, or a related quantitative/technical discipline preferred
• 5+ years of experience in data analysis, data engineering support, business intelligence, or a related technical data role, including senior-level experience
• Strong SQL skills with experience querying, analyzing, and validating data in relational database environments
• Experience with Snowflake, SQL Server, PostgreSQL, MySQL, DB2, or comparable database/data warehouse technologies
• Experience with data quality, data validation, metadata, lineage, master data, and data governance practices
• Experience documenting technical requirements, data structures, dependencies, and acceptance criteria
• Experience working within Agile/SDLC environments and tools such as Jira or Confluence
• Knowledge of ETL/ELT processes, data pipelines, integrations, data mapping, and transformation logic
• Familiarity with BI/reporting tools and validating dashboards and KPIs
• Strong analytical and problem-solving skills with the ability to work independently across technical and business teams
• Ability to analyze multiple source systems and troubleshoot complex data issues through root cause analysis