Top Remote Analysis Reporting Jobs in Las Vegas, NV

Own the data layer for an AI-native retirement platform, including dbt models, marts, semantic layers, MCP connectors, data governance, product analytics, dashboards, and business metrics. Partner with engineering on warehouse architecture and data contracts while enabling teams and AI agents to securely access trusted data. Serve as the company’s primary data expert across product, servicing, go-to-market, and leadership functions.

Develop and operate cloud-based data pipelines, dimensional data models, data warehouse solutions, CI/CD automation, and platform governance controls. The role integrates APIs and diverse data sources while supporting security, monitoring, incident response, and reliable data product delivery. Responsibilities include collaborating with product owners and engineering teams, participating in design and code reviews, troubleshooting technical issues, and applying repeatable DevOps practices.

Develop enterprise data warehouse solutions and ETL pipelines using Azure Data Factory, Databricks, Snowflake, and related technologies. Process structured and unstructured healthcare data, including HL7 and FHIR files. Build stored procedures, perform data warehouse modeling, prepare ETL specifications, and use Python, source control, and scripting tools to support data integration and engineering initiatives.

Teaches undergraduate and graduate data analytics courses in an online, technology-enhanced format. Develops syllabi, lesson plans, course materials, assessments, and grading criteria; facilitates learning and provides timely feedback. Integrates responsible AI use, data ethics, and appropriate technology into instruction. Requires a relevant doctorate, applied analytics experience, strong communication skills, and expertise with analytics tools, methodologies, governance, and responsible data practices.

Leads enterprise data strategy, governance, quality standards, definitions, and reporting across Business Operations. Directs the Reporting and Data Analytics team, establishes a single source of truth, oversees executive dashboards, and translates business questions into analytical recommendations. Partners with Operations Excellence, Business Transformation, PMO, IT, Construction, Development, Sales, and other functions to align reporting and data standards.

Build scalable Python backend services, data pipelines, and analytics platforms supporting fraud attribute development, machine learning model development, deployment, and monitoring. Design maintainable production systems, implement CI/CD and infrastructure as code, manage AWS and on-premises environments, improve reliability and security, troubleshoot pipelines, and process large datasets for analytics and visualization.

The Manager, R&D Data Modeler designs and governs conceptual, logical, and physical data models for R&D analytics and digital initiatives. Responsibilities include source-to-target mapping, schema optimization, data integration, metadata and naming standards, FAIR and GxP governance, model versioning, architecture workshops, platform implementation consulting, and mentoring junior modelers. The role supports scalable, interoperable data ecosystems for analytics and AI workloads across data warehouses and cloud data lakes.

Build and own AAG’s consolidated data warehouse, including production-grade infrastructure, ELT pipelines, dimensional models, and reporting layers. Integrate data from ERP, CRM, and manufacturing systems into Databricks on Azure, maintain reliable data flows, and support business decision-making across the organization. Collaborate with leadership to translate requirements into code, while managing system development, maintenance, documentation, and continuous improvement.

Supports strategic planning through market, competitor, and trend research; market sizing; benchmarking; SWOT analysis; data synthesis; and reporting. Partners with cross-functional stakeholders to develop insights, identify opportunities and risks, and inform business recommendations. Assists with research projects, presentations, regional and global market assessments, and enterprise planning activities while working under guidance on complex analyses.

Leads the Supplemental Data organization supporting clinical data collection, validation, and loading for HEDIS gap closure across Medicaid, Medicare, and Marketplace programs. Manages Managers, oversees escalations and market support, improves companywide data processes, and leads cross-functional analytics initiatives. Establishes strategic department goals, manages delivery schedules and budgets, and communicates with stakeholders. Requires advanced SQL, Microsoft Access, relational database, reporting, healthcare claims, and data analysis expertise.