Top Analysis Reporting Jobs in Sacramento, CA

Lead forecasting, capacity planning, and workforce insights for customer experience operations. Build and backtest forecasting models, maintain dashboards (Tableau, Databricks, Five9, Verint, Excel), manage vendor forecasts, perform scenario modeling, and deliver executive recommendations to align staffing with service and cost goals.

Lead analytics for law firm operations by writing advanced SQL and Python/R scripts, building executive dashboards, standardizing KPIs, analyzing case lifecycle metrics, identifying bottlenecks, and delivering actionable recommendations to drive capacity planning and process improvements.

Design, build, and maintain an internal data platform and pipelines. Ensure secure, governed, resilient data access for engineering and BI teams. Partner with architects, implement automations, support platform consumption, mentor users, and drive continuous improvement and compliance.

Lead statistical strategies for clinical trials, ensuring regulatory compliance and guiding cross-functional teams in statistical methodologies and data management.

Lead enterprise data, analytics, and AI transformation engagements as a strategic advisor and architect. Design cloud data platforms, warehouses/lakehouses, governance, integration, and BI solutions. Oversee delivery, establish standards, mentor teams, support presales, and drive measurable business outcomes across technologies like Oracle, Snowflake, Databricks, and Microsoft Fabric.

Work with large-scale datasets to deliver advanced analytics, predictive models, and executive dashboards. Perform statistical analyses, prepare data pipelines, build reproducible workflows, and translate findings into strategic recommendations for clients and leadership. Collaborate across engineering, product, and strategy to improve analytics products and ATLAS platform capabilities.

As a Senior Marketing Data Scientist, you will conduct quantitative analyses, manage marketing tests, and provide actionable insights to enhance marketing performance and investment effectiveness.

Build and maintain Snowflake data warehouse and ETL/ELT pipelines, integrate data sources (NetSuite, Jira, portals), own BI layer and dashboards (HEX/Tableau/Looker), ensure data quality and governance, partner with leadership to translate operational goals into data models and insights, and support cross-functional analytics and automation.

Lead BI partner for product teams to design and maintain scalable data pipelines, dbt transformations, data marts, and observability. Translate business needs into analytical frameworks, support A/B testing and ML feature engineering, collaborate on data governance, and champion CI/CD and best practices for analytics engineering.

Responsible for supporting and enhancing Oracle ERP and EPM financial processes, ensuring accurate reporting and collaboration with finance teams.