Top Senior Data & Analytics Jobs in Sacramento, CA

Lead data-driven initiatives to analyze complex datasets, build dashboards, present insights to leadership, and drive continuous improvement projects to improve operational performance and inform strategic decisions.

Build and operate Databricks-based lakehouse pipelines (medallion/Data Vault 2.0), resolve identity across systems, enable near-real-time CDC, integrate external partners, add observability, and partner with AI/product teams to deliver trustworthy data for BI, ML, and in-product features.

Lead translation of complex mortgage servicing business needs into scalable data and technology solutions. Perform business and data analysis, create user stories and system specifications, lead data mapping and system conversions, validate data models, support ETL/ELT and reporting, and collaborate with product, data engineering, architects, and software teams to enable data-driven decision-making.

Serve as the technical authority for the Enterprise Data Platform, defining enterprise data architecture, canonical data and semantic models, externalization and API principles, and AI/knowledge-graph ready designs. Lead solution architecture, govern semantic layers and Collibra integration, chair architecture reviews, shape technology roadmap, and partner with platform and trust teams to ensure consistent, governed data products across delivery teams.

Lead a team to develop data strategy and insights across multiple business functions, driving analytics evolution and ensuring data quality and governance.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.

The Senior Insights Analyst will analyze data to provide insights into the subscription economy, present findings, support reports, and manage projects while mentoring junior team members.

Responsible for developing enterprise architecture and modern data platforms, ensuring data governance, quality, security and supporting data-related initiatives across the organization.

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.

Manage and grow a data engineering team, overseeing the design and maintenance of data platforms using Snowflake, dbt, and Azure. Drive best practices in data management and ensure reliable data movement and quality.