Top Remote Analysis Reporting Jobs in Sacramento, CA

Own the Finance & Operations data layer: ingest and model data from systems (NetSuite, Ramp, Pigment) into Snowflake/Omni, ensure data quality and metric governance, build dashboards and reports, collaborate with Finance/Ops stakeholders, and automate reconciliation and reporting workflows.

Own churn analysis, build subscriber behavior models and cohorts, develop retention dashboards and LTV/revenue impact models, tag cancellation reasons, support A/B test design/analysis, ensure data integration from Zendesk/Shopify/Recharge, and present insights to retention leadership.

Lead end-to-end FOIA data migration projects into RelativityOne, define and prioritize migration tooling, author requirements and runbooks, engage agency customers, ensure FedRAMP-compliant handling of DT1 data, and drive continuous improvement and product feedback.

Support clients using syndicated CPG data and Circana platforms to deliver actionable insights, drive adoption and growth, provide training, collaborate cross-functionally, and meet revenue goals while ensuring client satisfaction.

Senior AWS Analytics Engineer. Posting contains no detailed responsibilities or qualifications beyond the job title.

Perform end-to-end strategic analyses for EverPro to inform pricing, packaging, and monetization decisions. Aggregate and analyze product and customer data, evaluate operational impacts, collaborate cross-functionally, and present clear recommendations to drive growth.

Lead design and build of Microsoft Fabric data solutions and Power BI semantic models. Migrate Tableau reports to governed Power BI, develop Spark notebooks, implement medallion lakehouse patterns, optimize ETL/ELT and DAX, and support CI/CD and stakeholder validation.

Design and implement scalable data pipelines and orchestration on GCP to support AI/ML-driven mail intelligence. Build stream and batch processing, ensure data governance and quality, optimize workflows, create visualizations, and collaborate with US cross-functional teams to align technical strategy and recover from failures.

Design, build, and maintain scalable cloud-native data pipelines, microservices, and AI-driven orchestration. Develop Python APIs (Flask/FastAPI), implement advanced SQL transformations (BigQuery), integrate LLMs/agents for automated workflows, and collaborate with Data Science and Product to deliver production-grade, observable, and secure AI-enabled data solutions.

Lead strategy, design, and delivery of reporting, dashboards, KPIs, and analytics across divisions. Partner with stakeholders and technical teams to define requirements, prioritize BI product roadmap, enable predictive analytics and anomaly detection, and drive data-driven decisions to improve revenue cycle performance and client outcomes.