Top Remote Analysis Reporting Jobs in Santa Cruz, CA

Leads architecture and hands-on development of scalable data pipelines, governed data models, semantic layers, analytics products, and AI workflows. Writes production SQL and Python, establishes engineering standards, mentors engineers, and drives design reviews. Builds agentic and LLM solutions using retrieval and managed AI services while ensuring data quality, observability, reliability, privacy, and regulatory compliance for PHI and genomic data. Partners with stakeholders, platform teams, and governance forums to deliver trustworthy business solutions.

Leads analytics and data engineering for Sales and Revenue Operations. Builds reporting in Looker and Snowflake, manages CRM data flows into cloud warehouses, establishes transformation and modeling layers, and develops forecasts, scoring, churn, and expansion models. Supports territory, quota, pricing, and revenue-truth initiatives while presenting insights to finance and company leadership.

Design and deliver Databricks-centric data architectures, lead pre-sales and billable engagements, build end-to-end data engineering pipelines for AI/ML and BI, mentor teams, ensure data governance/security/quality, and resolve data system issues while producing solution documentation and presentations.

Analyze product, user, transactional, and repayment data to develop risk and underwriting models, reduce losses and fraud, monitor model performance, and guide product and growth strategy. Build Looker dashboards and LookML models, conduct segmentation and experimentation, measure CAC and LTV, and communicate actionable insights to product, engineering, marketing, finance, and leadership.

Supports enterprise data governance and business intelligence initiatives by profiling datasets, defining quality rules, validating metadata and lineage, maintaining business glossaries, and testing API integrations. Develops data-quality scorecards, governance reports, dashboards, documentation, and training materials. Collaborates with data owners, stewards, engineers, and government stakeholders while tracking remediation and testing evidence in Azure DevOps. The role requires Power BI, data governance, data-quality, SQL, ETL, and relational database experience in a Navy environment.

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.

Build and maintain production data ingestion, transformation, and pipeline systems for a governed federal data and AI platform. Develop data products, contribute to Terraform infrastructure and CI/CD, monitor quality and reliability, troubleshoot issues, and apply governance and access controls. Support data science and ML teams while operating within FedRAMP, NIST 800-171, and CUI requirements. Collaborate with engineers and document pipelines and processes.

Serve as the healthcare program-integrity and fraud, waste, and abuse authority for an AI proof of concept supporting CMS. Select fraud use cases, curate ground-truth datasets, validate AI-generated leads and case files, translate investigator workflows into acceptance criteria, and ensure outputs reflect Medicare and Medicaid fraud investigation practices. Partner with engineers, investigators, CMS stakeholders, and law-enforcement organizations on evaluation, adoption, onboarding, and training.

Manages program data by cleaning, updating, validating, and preparing datasets for analysis. Monitors data integrity across systems, resolves collection issues, identifies data-quality trends, supports visualizations and form configuration, and maintains documentation. Collaborates with stakeholders on project and platform maintenance activities while adapting to changing priorities. Requires R data manipulation, basic descriptive statistics, online survey-form development, digital fluency, strong attention to detail, and independent task management.

Lead ownership and evolution of a Microsoft Fabric-based data platform: design medallion/semantic architectures, build and optimize data pipelines, enable Power BI reporting, support SQL Server performance and API integrations, implement observability with Azure Log Analytics/KQL, and shape the data+AI roadmap.

Administers and maintains enterprise Microsoft SQL Server, Oracle, PostgreSQL, and MySQL databases supporting NASA applications. Responsibilities include installation, configuration, upgrades, migrations, provisioning, security, patching, backup and recovery, high availability, disaster recovery, replication, troubleshooting, and automation. The role also supports VMware, network storage, enterprise backup systems, and on-call incident response while collaborating with technical teams and stakeholders.