Top Remote Analysis Reporting Jobs in Santa Cruz, CA

Lead high-severity incident response and build data pipelines for operational reliability reporting. Analyze incident trends, identify recurring failures and customer-impacting services, and provide prioritized recommendations to engineering leadership. Facilitate postmortems, operational health forums, runbook improvements, and corrective-action tracking. The role requires strong SQL and Python skills, incident-management platform experience, dashboarding expertise, and calm communication during critical incidents.

Analyze and model marketing, product, and loan application data to optimize the borrower funnel and drive growth. Build BigQuery datasets, dbt models, and Tableau dashboards; evaluate customer behavior, acquisition costs, approval rates, and origination performance. Partner with Product, Marketing, and Engineering on A/B tests, statistical analysis, and actionable insights for leaders. Apply lending and fintech knowledge to improve conversion, customer value, and portfolio outcomes.

Conducts prospect research and wealth analysis for individual, corporate, and foundation donors; evaluates giving capacity, inclination, and affinity; develops executive briefings and portfolio reports; optimizes fundraiser portfolios; supports moves management and donor strategy; and partners with development teams to integrate predictive modeling, analytics, and wealth-screening insights into major-gift pipelines.

Build and govern trusted Power BI and Microsoft Fabric reporting products for Microsoft business acceleration. Define KPI frameworks, semantic models, dashboards, data governance, lineage, row-level security, and executive scorecards. Reconcile metrics to authoritative systems and analyze pipeline, revenue, adoption, and utilization trends. Automate recurring reporting and quarterly proof-of-execution evidence while delivering recommendations to leadership and portfolio stakeholders.

Build and operate scalable data pipelines, governed data models, semantic layers, and analytics products. Partner directly with business stakeholders to translate requirements into production-ready data and AI solutions. Develop SQL and Python applications, LLM and agentic workflows, retrieval systems, and automated testing. Ensure data quality, lineage, monitoring, reliability, cost efficiency, and compliance for PHI and genomic data. Collaborate with platform and AI teams on architecture, governance, CI/CD, and operational excellence.

Designs and operates enterprise data pipelines, cloud data platforms, and infrastructure across AWS and Azure. Leads AWS Commercial-to-GovCloud migrations, Microsoft Fabric platform administration, ELT/ETL and streaming development, data modeling, infrastructure as code, CI/CD automation, governance, data quality, security, disaster recovery, and Tier 3 support. The role manages regulated CUI and ITAR data in compliance with NIST 800-171 and DFARS requirements.

Develops business intelligence reports, visualizations, and application scripts using data from multiple sources. Gathers requirements, presents solutions, conducts user testing, validates data integrity, supports BI tool users, and identifies opportunities to improve analytics processes. The role collaborates with internal and external stakeholders and adapts reporting solutions to evolving business needs.

Designs, builds, and operates scalable batch and streaming lakehouse pipelines using Databricks, Spark, PySpark, Delta Lake, and Unity Catalog. Responsibilities include data ingestion, transformation, governance, orchestration, performance optimization, CI/CD integration, monitoring, data quality, and documentation. The role supports analytics, machine learning, anomaly detection, fraud analytics, and risk scoring while collaborating with technical stakeholders and Agile teams. A Public Trust determination is required.

Supports healthcare implementation projects, business workflow documentation, process improvement, work plans, and deliverables. Reviews large datasets from multiple sources to identify outliers, monitor trends, and prepare state-mandated reports. The internship provides experiential learning for undergraduate students interested in healthcare or data analytics.

Leads marketing measurement strategy, including attribution, marketing mix modeling, incrementality studies, experimental design, KPI frameworks, and test-and-learn standards. Builds models and translates statistical findings into budget and investment recommendations for leadership. Oversees measurement tracking, validates media performance, ensures MarTech and CRM tracking integrity, coaches measurement teams, and delivers executive readouts to guide marketing and financial planning.