Top Data & Analytics Jobs in Santa Cruz, CA

Lead commercial analytics, reporting, and decision support for Sales. Build dashboards, forecast models, and BI solutions (Salesforce, Tableau/Power BI, SQL, Snowflake). Provide executive insights, territory and quota analytics, pipeline and performance analysis, and mentor analysts while ensuring data governance and cross-functional alignment.

The Sr. Tableau Admin will manage multi-environment Tableau administration, setup disaster recovery, configure trusted authentication, optimize performance, and integrate R analytics with Tableau.

Owns architecture, roadmap, development, and production operations for major components of NVIDIA’s distributed data platform. Builds batch and streaming pipelines, data products, shared platform capabilities, quality standards, and operational practices using Python, SQL, Databricks, and Spark. Leads cross-team technical delivery, production investigations, architectural changes, mentoring, and adoption of reliable, secure, scalable data systems supporting GPU fleet health, capacity, utilization, cost, and operational decisions.

Build and operate NVIDIA DGX Cloud’s data platform, including batch and streaming pipelines, distributed data workloads, data products, quality monitoring, security, observability, and self-service consumption. Own systems from architecture through deployment and incident response. Improve platform reliability, scalability, and engineering practices while mentoring teammates. Work primarily with Python and SQL across cloud infrastructure, databases, Spark, telemetry, and operational data.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

Designs, analyzes, documents, integrates, and migrates complex environmental datasets for AirHub business lines. Responsibilities include analyzing legacy databases, creating logical and physical data models, documenting mappings and business rules, developing migration specifications and API integrations, supporting data governance and testing, and producing technical documentation. The role also requires close collaboration with business stakeholders in an Agile delivery environment.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Reviews and analyzes large business datasets for accuracy, completeness, relevance, privacy, and quality. Conducts document reviews involving PII, identifies data issues and anomalies, provides feedback to support AI training, refines quality assurance standards, and communicates findings to project stakeholders while maintaining data privacy and security compliance.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

Conduct quantitative and qualitative research, analyze complex business scenarios, gather requirements, and synthesize stakeholder perspectives into actionable recommendations. Evaluate data using tools such as Excel or SQL, identify process improvements, and produce clear reports, memos, business cases, and documentation. Collaborate with stakeholders through written communication and contribute analytical content to help train AI systems.

Analyze large, multi-source datasets to identify trends, risks, opportunities, and performance drivers. Build Power BI dashboards, reports, KPI scorecards, and analytics-ready datasets using SQL. Partner with business leaders and stakeholders to clarify questions, evaluate initiatives, maintain data quality, and develop actionable recommendations. Present insights through clear visualizations and data storytelling, while managing multiple analytics assignments and contributing to team best practices.

Designs enterprise-scale federated data architectures integrating Palantir Foundry and Databricks. Establishes data-sharing, governance, lineage, metadata, and ownership standards across cloud platforms. Leads legacy ETL modernization, builds scalable PySpark and Spark SQL pipelines, architects secure connectivity, and enables AI, machine learning, real-time analytics, and self-service data products. Serves as the technical authority, leads architecture reviews, and manages stakeholder relationships.

The Senior Data Analyst gathers business and data requirements, assesses data quality and sources, maintains data dictionaries and lineage, defines KPIs, validates reports, and delivers actionable insights. The role supports data governance, PII protection, integrations, data transformation, platform performance, business continuity, and process improvement. It collaborates with stakeholders and data teams, mentors colleagues, resolves complex issues, and contributes to enterprise data strategy and technology decisions.