Top Data & Analytics Jobs in San Luis Obispo, CA

Develops healthcare reporting and analytics solutions using Power BI and SQL to improve operational and clinical performance. Responsibilities include gathering requirements, validating data quality, creating dashboards and reports, partnering with data engineering and advanced analytics teams, training users, maintaining documentation, managing reporting timelines, and resolving data or logic issues.

Leads complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

Lead the design and optimization of healthcare data pipelines integrating EHR, payer, HIE, and vendor data. Build AWS-based ETL/ELT infrastructure, reusable integration tooling, data quality monitoring, and ML enablement foundations. Ensure HIPAA-compliant handling of clinical data, including security controls, audit logging, encryption, and de-identification. Provide technical leadership, mentor engineers, influence platform architecture, and lead complex partner integrations involving FHIR, HL7v2, CCDA, and healthcare terminology standards.

Build and maintain commercial data pipelines, transformations, models, integrations, and data products in Snowflake. Responsibilities include data modeling, quality validation, monitoring, troubleshooting, backfills, operational automation, documentation, and stakeholder collaboration. The role supports analytics, reporting, Streamlit, and AI-enabled use cases while maintaining reliable production workloads, privacy controls, and engineering standards.

The Data Steward maintains accurate, compliant, and standardized master and reference data across enterprise systems. Responsibilities include enforcing governance policies, validating and remediating Salesforce records, auditing and cleansing data, resolving data issues, supporting migrations and integrations, maintaining data dictionaries, and creating reports and dashboards. The role collaborates with global business, operations, sales, technology, and governance teams to improve data quality, support compliance, promote user adoption, and enable reliable reporting and decision-making.

Owns governance, quality, standards, and lifecycle management for eight master data domains across ERP and related systems. Administers NetSuite master data, defines validation and error-proofing controls, resolves data discrepancies, maintains audit-ready documentation, and reports quality KPIs. Partners with IT, Supply Chain, Finance, Commercial, Regulatory, Customer Care, and other teams on integrations, migrations, product launches, compliance, serialization, and pricing. Provides cross-functional guidance and drives data discipline without direct authority.

Leads competitive intelligence and market analysis for Medicaid, DSNP, and Marketplace RFPs. Reviews competitor responses, identifies gaps and differentiators, develops recommendations, maintains intelligence databases, supports capture strategy and oral presentations, and advises business development, product, legal, and executive stakeholders. Provides benchmarking, proposal analytics, training, and protest support while refining RFP methodologies. Requires 50% or more travel.

Leads enterprise data, analytics, business intelligence, and AI strategy across healthcare payer functions. Partners with executives to prioritize analytics initiatives, build reporting and predictive insight capabilities, establish data governance and accountability, and drive measurable business outcomes. Oversees cross-functional teams, enterprise application development, Azure architecture, quality automation, DevOps, and intelligent automation while engaging C-suite and board stakeholders.

Analyze performance marketing and subscription-funnel data, including acquisition efficiency, conversion, retention, churn, and customer lifetime value. Build automated Domo dashboards and governed reporting pipelines from multiple data sources. Investigate data anomalies, analyze A/B tests, define KPIs, and communicate insights to executives. Partner with marketing, product, engineering, finance, agencies, and BI contractors while independently executing analytics projects and improving reporting workflows.

Design and maintain large-scale ETL/ELT data pipelines using Python, Airflow, Spark, and Flink. Process and transform massive datasets, develop data models for analytics and dashboards, automate workflows in Unix/Linux environments, and debug distributed systems. Collaborate with cross-functional teams to ensure data accuracy, reliability, scalability, and availability across Akamai’s global network.

Builds and manages clinical outcomes and client experience measurement programs. Responsibilities include administering surveys, consolidating data, defining measurement methodologies, developing scorecards and recurring reports, analyzing trends, and connecting outcomes to provider network performance. The role translates complex findings into actionable recommendations for clinical and operational leaders, supports quality improvement initiatives, and contributes to research projects, white papers, and thought leadership.