Top Remote Analysis Reporting Jobs in Sacramento, CA

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.

Provides Tier 1 and Tier 2 remote technical support for hardware, software, peripherals, networks, VPN, and MFA issues. Configures and ships laptops and equipment for new hires, manages accounts and permissions across Google Workspace, Microsoft 365, Slack, and internal systems, and develops knowledge-base documentation and training guides. Supports the company’s North American expansion and remote workforce.

Performs remote data entry and administrative support by entering, updating, verifying, and organizing information in digital databases and electronic records. Maintains spreadsheets, reviews documents for accuracy, identifies discrepancies, protects confidential information, responds to update requests, and completes assigned projects on schedule while communicating progress to supervisors.

Build and optimize Snowflake data transformations across staging, curated, and conformed layers. Implement dimensional models, SCD Type 2 history, member matching, payer attribution, reconciliation, and member-month outputs. Develop restartable, testable processing with audit logging, error handling, data-quality checks, alerting, and schema-drift controls. Troubleshoot production issues, maintain documentation, participate in reviews and planning, and support client demonstrations.

Leads advanced data analytics and engineering initiatives, including data infrastructure, ETL, pipelines, warehousing, governance, visualization, and AI-enabled solutions. Supervises analysts, manages data systems and Smartsheet workflows, ensures documentation and contract compliance, and delivers insights, reports, and recommendations to improve program operations and grant management.

Lead the technical direction and development of scalable batch and streaming data pipelines and products. Establish data quality, observability, freshness, recovery, governance, and cost standards; investigate production incidents; and build trusted data context layers with lineage, metric semantics, ownership, and governed access. Apply AI-assisted workflows to pipeline development, validation, and troubleshooting while mentoring engineers and influencing architecture across teams.

Build and maintain scalable data pipelines, integrations, and data models connecting product, customer, sales, billing, and revenue data. Partner with Sales, RevOps, Finance, and Product to support forecasting, reporting, customer intelligence, segmentation, retention, and expansion analysis. Implement data validation, monitoring, documentation, and governance while improving infrastructure and automation for the company’s growing B2B operations.

Analyzes claims data to identify trends, patterns, risks, and business opportunities. Retrieves, validates, and prepares data from multiple databases; creates reports, dashboards, visualizations, spreadsheets, and presentations; supports forecasting and reporting needs; collaborates with claims, underwriting, product, IT, and leadership teams; and communicates recommendations for business decisions and process improvements.