Top Data & Analytics Jobs

Analyzes client data for quality, consistency, and performance insights; researches data questions and escalations; builds SQL or similar queries; creates reports; tracks anomalies and resolutions; and collaborates with client success and internal teams to address support requests. The role also requires maintaining client-specific data expertise, communicating updates through tickets, and identifying opportunities for improved client performance.

Leads enterprise business intelligence strategy, roadmap, product delivery, semantic modeling, governance, adoption, and AI-enabled analytics. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, IT, and business leaders to deliver scalable, trusted reporting and decision-support capabilities. Manages and develops the BI team, prioritizes demand, establishes delivery standards and performance metrics, and remains hands-on in solution design and troubleshooting.

Build and maintain Snowflake data ingestion and transformation pipelines, migrate legacy ETL jobs, and contribute to dimensional data mart development. Develop source-system integrations, optimize SQL and warehouse performance, implement data quality monitoring, support BI and analytics consumers, and maintain documentation, governance, security, version control, and CI/CD practices. The role requires collaboration with technical and nontechnical stakeholders and occasional after-hours support.

Leads enterprise business intelligence strategy, roadmap, product delivery, semantic modeling, governance, and AI-enabled analytics. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to deliver scalable, secure, trusted reporting and self-service experiences. Manages BI demand prioritization, adoption metrics, stakeholder relationships, technical standards, and a BI team while remaining hands-on in solution design and troubleshooting.

Leads enterprise business intelligence strategy, roadmap, product delivery, semantic modeling, governance, adoption, and AI-enabled analytics. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to deliver scalable Power BI and Snowflake capabilities. Manages BI demand, prioritization, standards, performance, security, stakeholder relationships, and team development while remaining technically hands-on.

Supports IT delivery teams by eliciting and documenting business and functional requirements, creating user stories and acceptance criteria, modeling processes and data flows, refining Agile backlogs, supporting sprint planning and UAT, validating delivered features, maintaining traceability, and using AI-assisted tools for documentation and analysis.

Leads enterprise business intelligence strategy, roadmap, product delivery, semantic modeling, governance, adoption, and AI-assisted analytics. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to deliver scalable, secure, and trusted BI capabilities. Manages and develops the BI team, prioritizes demand, translates business needs into products, and measures business value and user adoption.

Leads enterprise business intelligence strategy, product roadmap, semantic modeling, governance, adoption, and delivery. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to create scalable Power BI and Snowflake capabilities, including AI-assisted analytics. Manages and develops the BI team, prioritizes demand, measures business value, and guides technical design while supporting trusted decision-making across the organization.

Own the end-to-end BI lifecycle, building Microsoft Fabric semantic models, advanced DAX calculations, Power BI reports, and dashboards. Manage model performance, refreshes, workspace governance, permissions, row-level and object-level security, version control, and deployment across environments. Troubleshoot production issues, implement enhancements, and collaborate with analysts and IT engineering to maintain trusted reporting and a single source of truth.

Leads enterprise business intelligence strategy, product roadmap, semantic modeling, governance, delivery standards, and AI-enabled analytics. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, IT, and business leaders to deliver trusted, scalable insights. Oversees BI adoption, performance, security, prioritization, and business value while leading, coaching, and developing the BI team and federated analytics contributors.