Top Remote Analysis Reporting Jobs in San Luis Obispo, CA

Designs, develops, tests, and maintains scalable public health data pipelines, enterprise data marts, and cloud-based informatics systems. Uses Databricks, SQL, Python, PySpark, and related technologies to integrate, transform, curate, and govern multisource data. Performs data quality assurance, monitoring, troubleshooting, documentation, and dashboard development while collaborating with clinical, technical, public health, and external partners to improve interoperability, surveillance systems, and data-driven decision-making.

Develop and maintain scalable data pipelines, ETL/ELT processes, APIs, data models, and analytics datasets using Python, SQL, Spark, and Databricks. Integrate sensitive federal health, financial, and operational data while implementing validation, governance, testing, documentation, and performance optimization. Collaborate with engineers, architects, analysts, and stakeholders to deliver reliable data products and resolve technical data needs.

Build and maintain scalable batch and streaming data pipelines, analytics warehouses, transformation layers, and dimensional data models. Perform SQL-based analysis, support dashboards and reporting, monitor data quality and delivery SLAs, troubleshoot incidents, and improve operational reliability. Collaborate with engineers, analysts, data scientists, and business stakeholders while contributing to documentation, governance, observability, and automation.

Own product, content, subscription, and growth analytics for adult product lines. Analyze conversion, retention, churn, cohorts, and LTV; maintain reporting; create measurement plans; support experimentation; and deliver recommendations to Product, Engineering, Content, and Design. Use SQL, visualization tools, statistical methods, and AI-assisted workflows while validating results and documenting work.

Develop and maintain Power BI dashboards, reports, KPIs, and business systems supporting commissioning, quality, and infrastructure projects. Gather requirements, improve workflows and data quality, coordinate user acceptance testing, manage enhancement requests, and validate reporting accuracy. Collaborate with operational, engineering, construction quality, and regional stakeholders to support governance, project readiness, issue tracking, and data-driven decision-making. Create documentation, training materials, and communications for system releases and reporting changes.

Designs, builds, and maintains Databricks data pipelines and analytics solutions using SQL and Python. Collaborates with development and IT teams, applies DevOps and CI/CD practices, supports Power BI dashboards, and contributes to data modeling, management, and governance. The role requires extensive Databricks and cloud-platform experience, strong communication skills, fluent English, and at least five years of relevant experience.

Designs and maintains standardized healthcare reporting and analytics solutions using Azure Databricks, SQL, and Power BI. Builds data transformations, reusable models, semantic datasets, metrics, visualizations, and governed reporting products. Partners with business, clinical, pharmacy, analytics, and technology stakeholders to translate complex requirements into scalable solutions. Explores AI-enabled and conversational analytics, including Genie One, while ensuring data quality, documentation, and maintainability.

Build scalable data ingestion, transformation, and loading infrastructure using Spark, SQL, AWS, and Databricks. Develop entity resolution systems, CI/CD pipelines, anomaly detection, and high-quality data products. Design scalable processing and storage patterns, orchestration workflows, and data warehousing solutions while collaborating remotely and documenting technical designs.

Leads customer analytics, revenue and retention reporting, executive and board reporting, renewal variance analysis, capacity modeling, customer health scoring, churn prediction, and data governance. Partners with Finance, Sales, Revenue Operations, Product, and Customer leadership to standardize SaaS metrics, improve retention, forecast revenue, and translate complex datasets into strategic recommendations and executive-ready dashboards.

Build and maintain Snowflake and dbt data models using medallion architecture, CDC ingestion, star schemas, and slowly changing dimensions. Develop governed semantic datasets for BI and AI workloads, implement testing, documentation, monitoring, alerting, row-level security, and performance tuning. Partner with product and business stakeholders to translate reporting needs into reliable multi-tenant SaaS data solutions.