Top Senior Data & Analytics Jobs in Sacramento, CA

Support Americas Sales and Marketing by performing CRM administrative and audit tasks, executing SAP web-interface tasks, running reports, performing Excel-based analysis and data audits, managing support inboxes, documenting processes, and training/transitioning work to third-party providers.

Execute day-to-day pricing analytics: prepare and clean retail pricing and promo data, run and validate pricing models and agent outputs, monitor in-season performance, assemble clear analytical reports for business reviews, and contribute to improving pricing agents and documentation to scale the pricing function.

The role involves developing insights from data to shape strategies for eyewear and software operations, focusing on customer experience, operational efficiency, and business growth. Collaboration across functions and advanced analytics are key to identify trends and enhance the customer journey.

Lead the design and implementation of enterprise BI architecture, ensuring alignment with business needs and data governance. Collaborate with teams to deliver Power BI solutions and optimize data processing. Provide subject matter expertise and documentation.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

The Senior Enterprise Data Governance Analyst will implement and operationalize data governance initiatives, drive adoption of data catalogs, and ensure standardization of metrics across domains.

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.

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.

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.