Top Analysis Reporting Jobs in San Luis Obispo, CA

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.

Support Practice Success by collecting, analyzing, and reporting operational health data; build dashboards and visuals; maintain project plans and trackers; map processes and identify workflow improvements; coordinate stakeholders and provide day-to-day project support to drive execution.

Design, develop, and maintain Snowflake-backed semantic models and Power BI reports; build SQL queries, functions, and stored procedures; use AI-assisted tooling (Claude, MCP) to accelerate BI development; manage work in Azure DevOps, version control with GitHub; ensure QA, documentation, stakeholder communication, and mentor fellow developers.

Design, develop, and optimize ETL workflows, data platforms, and reporting solutions. Lead technical designs, troubleshoot production issues (including off-hours support), collaborate with stakeholders and vendors, document processes, and drive automation and BI/dashboard implementations to ensure scalability, performance, and reliability.

Lead development and implementation of advanced reporting, predictive models, segmentation, donor lifetime value and multi-year forecasting. Apply AI/ML, NLP, and automation to optimize fundraising, design experiments, maintain data systems, and advise leadership while coordinating cross-team analytics and training.