Top Data & Analytics Jobs in Sacramento, CA

The Director of Customer Data Engineering will manage customer data strategies, ensuring compliance and privacy while leading data integration and governance initiatives. They will drive data quality and enhance business intelligence investments, collaborating across global teams and building a strong technical team.

Lead client-facing marketing analytics engagements using quantitative methods. Conduct marketing mix modeling, multi-channel attribution, digital analytics, pricing and promotion analysis, and demand forecasting. Provide analyses, recommendations, presentations, and mentor a team. Frequent travel (80–100%).

Part-time analyst who maintains CRM and CAMS data, supports enrollment and budget forecasting, creates real-time and historical reports, monitors data quality, identifies process improvements, trains/supervises student workers, and supports recruiting/marketing activities and website content updates in coordination with Marketing.

Support sales, news and promotions by analyzing and maintaining media research from Nielsen, Comscore, Wide Orbit, and other tools. Produce ratings reports, create customized sales presentations, compile campaign proof-of-performance, communicate findings to stakeholders, and manage projects to completion.

Lead design and implementation of scalable cloud data lakes, warehouses, and marts. Build ELT/ETL pipelines, apply Data Vault 2.0 and dimensional modeling, implement data quality, lineage, observability, and governance. Optimize Snowflake/Databricks/Synapse platforms, champion CI/CD and DataOps, mentor engineers, and enable AI/ML-ready data products through collaboration with architecture and product teams.

Design, build, and deploy data pipelines, databases, and AI-enabled automation to improve manufacturing test throughput, yield, and reliability. Integrate test systems and IoT sensors, support root-cause analysis, develop dashboards and alerts, and work hands-on with production teams for on-floor troubleshooting and sensor/validation tasks.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Support product, content, and revenue teams by building and maintaining dashboards, performing ad hoc analyses of user engagement and monetization, validating data quality, and analyzing A/B test results to translate findings into clear insights that inform product and business decisions.

Lead enterprise-wide data governance and stewardship for commercial, operational, and administrative data. Build and manage a matrixed team of data stewards, implement MDM strategies and governance frameworks, ensure data quality and compliance (GDPR/CCPA), partner with stakeholders to enable analytics and business decision-making, and optimize governance tools and processes.

Gather business requirements and design, build, test, and implement a relational database using MS Access 2010, involving data migration and validation.