Top Remote Analysis Reporting Jobs in Sacramento, CA

Leads legacy data migration into SaaS platforms by assessing sources, designing conversion strategies, executing ETL workflows, mapping and transforming data, validating integrity, and managing PII. Engages clients to gather requirements, document business processes, support governance and data quality, coordinate implementation teams, and develop reusable methodologies and training materials.

Leads and rebuilds the enterprise analytics and business intelligence function across an 11-brand organization. Owns analytics strategy, measurement governance, revenue flow-through modeling, forecasting, executive reporting, platform roadmap input, and vendor relationships. Builds a multi-tier analytics team, develops operating models and quality standards, and connects marketing, enrollment, utilization, operational spending, and EBITDA outcomes. Partners with executive leadership, finance, marketing, operations, product, and digital teams to guide investment and strategic decisions.

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.

Leads prospect research and development strategy for executive portfolios, principal gift pipelines, and foundation board recruitment. Evaluates wealth, financial, corporate, and biographical data; conducts network mapping; and produces executive-level intelligence and capacity assessments. Manages portfolio tracking, pipeline reviews, research methodologies, and cross-functional initiatives while partnering with fundraisers, senior leadership, and analytics teams. Applies AI, predictive modeling, and research technologies to improve prospect intelligence and institutional processes.

Leads public health informatics and enterprise data engineering for a cloud-native Databricks Lakehouse. Designs scalable pipelines, data models, integration frameworks, dashboards, data quality systems, and secure data access processes. Provides technical leadership, governance, interoperability, troubleshooting, documentation, training, and mentorship across public health programs and partner organizations. Analyzes complex datasets to support surveillance, operations, decision-making, and statewide data modernization.

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 healthcare risk adjustment predictive analytics, including intervention targeting, risk-score tracking, reporting, data quality assurance, statistical analysis, forecasting, root-cause analysis, and data warehouse reporting enhancements. Partners with cross-functional stakeholders, supports CMS and state regulatory requirements, develops automated analytics solutions, manages special projects, and trains analytics team members.