Top Remote Data & Analytics Jobs in Santa Cruz, CA

Design and architect robust ETL/data pipelines on cloud platforms. Build and automate data ingestion and preprocessing using Spark/Databricks, AWS Glue, Airflow. Implement warehousing architectures (EDW, DM, ODS, MOLAP/ROLAP), ensure SQL-based data quality, use version control, and deliver tested production pipelines while communicating with stakeholders.

Build and maintain product analytics dashboards, validate and QA event tracking, translate event data into analytics-ready datasets, run funnels/cohorts/retention analyses, support A/B testing, and surface actionable product insights to Product, Growth, and Data stakeholders.

Cross-functional internship analyzing retail and platform data to identify trends and breakout brands, design and run growth experiments, support outreach and partnerships, and own editorial publishing from social cards to full reports. Partner daily with founders and the Data Team, with opportunities to work alongside Engineering.

As a Data Analyst, you will create dashboards, analyze data, and ensure data quality while working with the VP of Finance.

Implement and manage data ingestion, enrichment, and integration for go-to-market teams. Clean and combine structured and unstructured sources, build automations and lightweight tools, integrate Clay outputs with the data warehouse, and partner with vertical stakeholders to create unified, actionable contact and lead views.

Perform hands-on Epic data conversion activities including CCDA/PAMI ingestion, source-to-target mapping, ETL, data validation, reconciliation, mock conversions, cutover support, troubleshooting, and documentation to ensure accurate migration of clinical and operational data from multiple legacy EMRs into Epic.

The Principal Data Platform Engineer leads the architecture and development of the enterprise data platform, focusing on analytics, data science, and AI/ML capabilities. They establish standards for data quality and observability, design data ingestion and processing patterns, and mentor team members to enhance technical capabilities.

The Data and Analytics Consultant will design, develop, and implement data reporting, visualizations, and analytics solutions for clients while assisting them in data understanding and value extraction.

Lead revenue analytics for GTM: own annual operating plan and weekly forecast, build propensity/churn/expansion models, architect the revenue data warehouse and identity resolution, define TAM/ICP, leverage AI to automate insights, and partner cross-functionally to maintain single-source-of-truth revenue metrics.

Own day-to-day Snowflake administration and the Sigma semantic layer; manage ingestion (Fivetran), dbt modeling scope, reverse-ETL to Salesforce/HubSpot/NetSuite, data quality SLAs, reporting and dashboards, partner with managed data vendors, design automation and reproducible month-end financial analytics, and drive analysis and experiments for AdOps, Sales, and Finance.