Top Remote Analysis Reporting Jobs in Sacramento, CA

Supports applied research and evaluation projects by collecting, cleaning, managing, and analyzing quantitative and qualitative data. Conducts literature reviews and policy scans, interprets findings, prepares reports, briefs, charts, and graphs, and contributes to proposal development. Also assists with project management through timeline development, meeting coordination, and progress tracking while collaborating with interdisciplinary teams in a virtual work environment.

Owns brand pricing principles, pricing architecture, discount budgets, competitive price positioning, and in-season analytics. Builds financial models, what-if scenarios, reporting, benchmarks, and actionable recommendations for merchandising and finance partners. The role validates AI-generated pricing outputs, automates recurring workflows, manages cross-functional relationships, and supports analyst development.

Leads the design and delivery of governed, business-ready data products, dimensional models, semantic assets, and KPI frameworks for Global Operations. Builds scalable lakehouse transformations using SQL, Python, and PySpark; establishes data quality, lineage, metadata, testing, CI/CD, monitoring, and security practices; and partners with business and technology stakeholders across supply chain, manufacturing, quality, and regulatory functions. Develops AI-ready data foundations supporting analytics, machine learning, generative AI, and executive reporting.

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.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Build and maintain business dashboards and standardized reporting processes; ensure data accuracy, governance, and consistency across systems; clean and structure data; maintain data pipelines; and improve workflow automations across sales, marketing, and operations. The role translates complex data into actionable insights, documents processes, identifies inefficiencies, and partners with stakeholders on scalable reporting and automation solutions.

Lead enterprise data architecture strategy and implementation across cloud data platforms, integration ecosystems, analytics, AI, and operational systems. Design scalable lakehouse or warehouse architectures, canonical data models, governance frameworks, data products, and secure healthcare data integrations. Partner with engineering, product, analytics, AI, security, and executive stakeholders while mentoring technical teams. The role requires deep expertise in modern data platforms and integration, with healthcare or insurance experience preferred.

Designs and productionizes hybrid knowledge graph solutions for healthcare and clinical data using LPG and RDF technologies. Builds FHIR transformation and ingestion pipelines, implements ontology mappings, entity linking, identifiers, provenance, validation, and graph queries with Cypher or SPARQL. Collaborates with ontology, terminology, FHIR, clinical, and data engineering teams, while contributing to architecture reviews, code reviews, testing, and engineering best practices.

Analyzes the end-to-end digital purchasing journey across Web and App platforms. Leads A/B testing and experimentation, builds self-service reporting, measures campaign impact, identifies customer experience opportunities, and communicates insights to product, digital experience, analytics, and senior leadership stakeholders.