Top Senior Data & Analytics Jobs in Sacramento, CA

The Sr. Data Modeler designs and implements data architectures, optimizes SQL queries, and develops data pipelines to support analytics initiatives ensuring scalability and alignment with business needs.

The Senior Analyst will support product engineering efforts by analyzing digital solutions, enhancing user experiences, and collaborating across teams to deliver insights and improvements.

Lead and grow a software engineering team focused on RISC-V software ecosystem, collaborating with teams to establish RISC-V as the standard.

Design, develop, test, and maintain Tableau dashboards and visualizations; gather and document requirements; integrate and validate data from multiple sources; build KPIs, scorecards, and workflow metrics; optimize performance and data quality; troubleshoot reporting issues; create documentation and provide knowledge transfer and ongoing BI support to DPS.

Lead NPR's station-facing analytics service: produce insights, training, newsletters, and webinars; support stations on tracking implementation and dashboards; analyze network- and station-level audience data; document best practices and collaborate with cross-functional teams to inform product roadmaps.

The Data SME will provide strategic guidance on data management and analytics, ensuring data quality and governance while collaborating with global teams to improve data solutions.

The Senior Data Analyst will develop advanced Power BI dashboards, perform complex analyses using SQL and Python, mentor junior analysts, and ensure data quality governance.

The Senior Database Analyst will optimize a legacy SQL Server environment and design a modern platform using PostgreSQL and ClickHouse. Responsibilities include auditing server performance, designing database schemas, managing multi-tenant databases, and improving data ingestion methods.

The Geospatial Scientist leads data management initiatives, oversees data governance, and ensures quality and compliance of geospatial data for DHS.

Design, implement, and manage scalable multi-cloud data platforms and ELT pipelines (AWS/Azure). Build and optimize Snowflake data models, dbt transformations, and Airflow orchestration. Define data engineering standards, enforce governance and quality, collaborate cross-functionally, and mentor global/offshore teams.