Top Data & Analytics Jobs in Sacramento, CA

Lead and grow the Revenue Analytics team to deliver strategic sales and customer lifecycle insights. Build forecasting, pipeline, capacity, predictive models, and customer lifecycle analytics to improve revenue, retention, adoption, and expansion. Partner with GTM, Finance, Product, and Enterprise Data to create executive reporting, data governance, AI-enabled self-serve datasets, and integrated analytics that drive business outcomes and support a shift to consumption-based models.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Build and operate data platforms for finance-focused APM solutions, ingesting data into Microsoft Fabric and developing lakehouse and warehouse layers with SQL and Python. Manage source control, CI/CD, environments, security, deployments, production monitoring, incident response, backup, and disaster recovery. Support technical discovery, estimates, documentation, reusable code, and agentic coding initiatives across multiple client engagements.

Senior Data Analyst cleans and prepares data, builds reports and dashboards using Power Platform, Excel, DAX, M, R or Python, develops data models and predictive/ML solutions, supports client/internal projects, and may lead others or assist business development.

Manages enterprise data and analytics initiatives, including data platforms, business intelligence tools, visualization, AI capabilities, governance, and analytics products. Leads teams of data engineers, architects, analysts, and BI professionals; oversees data modeling, reporting, data management, stakeholder insights, and technology platforms. Establishes success metrics, supports strategic decisions, guides change initiatives, and mentors team members while collaborating with clinical and operational stakeholders.

Design, optimize, and maintain scalable data architectures, pipelines, and processing solutions. Ensure data quality, perform SQL and Python analysis, build dashboards and visualizations, and support marketing and product analytics. Lead tooling development, requirements gathering, QA, stakeholder communications, and cross-functional initiatives while providing technical guidance and managing team decisions.

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.