Top Senior Analysis Reporting Jobs in Sacramento, CA

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Architects and governs Sutter Health’s enterprise semantic layer, creating reusable data models, security frameworks, and metric definitions. Designs and manages Microsoft Fabric and legacy SSAS tabular models, selecting Import, DirectQuery, or Direct Lake architectures to balance performance and freshness. Uses advanced SQL and DAX, dimensional modeling, Tabular Editor, DAX Studio, ALM Toolkit, Power BI, CI/CD, and Git integration. Works independently with minimal oversight and owns semantic infrastructure lifecycle management.

Lead design and delivery of scalable, secure cloud data pipelines and products. Translate requirements into architecture, apply advanced data modeling (Data Vault 2.0/dimensional), embed data quality, observability, security, and DataOps/CI-CD practices, optimize performance and cost, mentor engineers, and enable AI/ML-ready datasets within an agile DevSecOps model.

Collaborate with business teams to define analytics needs, perform data exploration, statistical analysis, and modeling, and create dashboards and presentations to inform decisions. Build forecasts and regression models, support data stewardship and metadata management, and work with analytics teams to improve data models and access while ensuring data security and governance.

Design, develop, and manage enterprise BI reports and dashboards; define reporting framework and data flows; ensure data quality, monitoring, security, defect management, testing, and technical knowledge transfer to client staff.

Lead and grow the client practice in Communications, Media & Technology by defining analytics strategies, developing thought leadership, communicating data value, and leading large-scale, complex customer analytics engagements.