Top Remote Data & Analytics Jobs in San Luis Obispo, CA

Analyze complex pharmaceutical transaction data, build forecasts and custom models, create dashboards and reports, identify trends and actionable insights, implement data quality/observability and process improvements, communicate technical specifications to stakeholders, mentor junior team members, and support cross-functional product and client initiatives while ensuring regulatory compliance (including HIPAA).

Perform advanced quantitative analyses, build and maintain dashboards and automated reports, collaborate across teams to drive data‑driven decisions, lead process improvements, and mentor junior analysts.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

Own triage and resolution of address-related issues across sales and marketing. Analyze large geographic datasets, build automated monitoring tools and dashboards, report on address database health, and collaborate with engineering and operations to drive data-informed fixes and improvements.

Perform deep quantitative analyses, build and maintain BI dashboards and automated reports, partner across functions to deliver data-driven recommendations, identify process improvements, and mentor junior analysts to improve reporting, data quality, and operational performance.

Operate and own real-time, petabyte-scale streaming pipelines (Pub/Sub/Kafka, Dataflow/Beam), integrate LLMs/Vertex AI enrichment, build monitoring/alerting, respond to incidents, ensure data integrity, and collaborate with Product and Analysts to improve observability and reliability.

Support and maintain clients' Azure data platforms and Power BI environments. Design and deploy data pipelines, models, and analytics solutions using Microsoft stack (ADF, Synapse, Databricks, SSIS/SSAS/SSRS). Troubleshoot incidents, communicate with clients, manage licensing, document environments, and promote best practices while collaborating with stakeholders and continuous skill development.

Lead Tableau data visualization strategy: design and optimize high-performance dashboards, establish governance and best practices, mentor teams, enable adoption, and partner with data teams for robust models and performance.

Lead intake, grooming, and translation of reporting and analytics requests into actionable requirements. Drive stakeholder sessions, define data logic and metrics, prioritize requests, enable scalable reporting solutions, support delivery and UAT, mentor junior analysts, and improve intake processes to reduce one-off requests and promote reusable, self-service reporting.

Own pipeline reporting, revenue forecasting, pricing and deal-analysis frameworks, retention/renewal reporting, and marketing performance analysis. Create automated dashboards, partner with sales and engineering to maintain data pipelines, and present insights to commercial stakeholders to drive revenue growth.