Top Remote Analysis Reporting Jobs in Santa Cruz, CA

Develop data and analytics solutions for the supply chain organization. Responsibilities include collecting, cleaning, and analyzing data; creating digital products and visualizations; collaborating with business units to meet requirements; presenting solutions; and training end users. The intern will also support continuous improvement initiatives and gain exposure to analytics application development and supply chain operations.

Prepare, edit, format, and quality-review client-facing documents, reports, proposals, and presentations. Clean, validate, organize, and analyze data in Excel using formulas, tables, pivot tables, and supporting schedules. Manage competing production requests, coordinate with team members, document processes, and identify workflow and template improvements while ensuring accuracy, consistency, and professional presentation.

Own data and risk enablement across source systems, pipelines, governance, and feature stores. Translate risk and business needs into scalable data requirements, improve pipeline quality and reliability, establish definitions and lineage, and promote reusable, governed features. Partner across data science, risk strategy, engineering, technology, and business teams to resolve data issues, prioritize platform enhancements, and support trusted analytics, modeling, and risk decisioning.

Lead the data migration practice and analysts, owning complex customer migrations from legacy legal and accounting systems through go-live. Build C# and SQL conversion tooling, troubleshoot databases and cloud servers, document migration logic, and guide nontechnical customers through exports. Support AWS and Azure SOC 2 controls, data residency, retention, and AI-assisted development.

Build and maintain connectors for Oracle B2C Service, SharePoint, OneDrive, Teams, and Sitecore. Develop an AWS ingestion pipeline that extracts, transforms, deduplicates, enriches, permission-tags, indexes, and retires content in S3 and Amazon Bedrock Knowledge Bases. Implement synchronization, throttling, retries, failure isolation, monitoring, inventory reporting, documentation, and client transition support.

Analyze user and customer behavior, develop segmentation, build dashboards, define organizational metrics, design experiments, investigate data issues, and deliver actionable insights. The role partners with marketing, sales, product, and UX teams to optimize engagement, conversion, growth, and strategic investments using analytics tools such as GA4 and Amplitude.

Design and maintain conceptual, logical, and physical data models for scalable data architectures. Implement Data Vault structures, including Hubs, Links, and Satellites, across enterprise data lakes and lakehouses. Deploy models using Azure data services, optimize performance, document data flows, and collaborate with engineers, scientists, analysts, and stakeholders. Apply data modeling best practices, integration techniques, security standards, and compliance requirements.

Analyze, optimize, and support CRM and service management systems, especially ServiceNow. Responsibilities include improving workflows, maintaining data quality, gathering requirements, developing reports and dashboards, troubleshooting issues, supporting integrations, training users, and testing enhancements. The role collaborates with Product, IT, and business teams to improve CRM functionality and adoption.

Own BookNook’s Snowflake data platform, including data modeling, access, cost, performance, pipelines, automation, and reporting. Build Python-based exports and state data feeds, develop BI dashboards, support privacy and security requirements, and deliver district, partner, executive, and research reporting. Lead data projects end to end, communicate findings to technical and nontechnical stakeholders, improve onboarding and data quality, and establish foundations for longitudinal student-outcomes research.

Leads product analytics by developing dashboards, defining KPIs, analyzing customer behavior, and delivering insights that guide product strategy and roadmap prioritization. Builds forecasts, business cases, and ROI analyses; partners cross-functionally with Product, Engineering, Customer Success, Sales, and leadership; and ensures accurate reporting and data governance. Supports predictive analytics and AI initiatives while communicating recommendations to stakeholders. This is a fully remote role requiring up to 20% travel.