Top Remote Analysis Reporting Jobs in Reno, NV

Design and scale fraud-mitigation strategies for buyer, seller, and account fraud across Stripe products. Monitor portfolios, identify and predict risky behavior, propose controls, automate workflows, collaborate with Product/Engineering/Data Science, and educate users to minimize losses while enabling growth.

Partner with stakeholders to gather requirements, validate integrated datasets, and deliver trusted insights via SQL-driven analysis and Tableau/Qlik dashboards to support federal healthcare operational decisions.

Design, implement, and maintain dbt/Snowflake ELT transformations to convert raw clinical and multimodal health data into trusted, analysis-ready models; enforce data quality, lineage, testing, CI/CD, and documentation; collaborate with clinical and ML teams to harmonize ontologies and support de-identification and ETL across health systems.

Design, develop, and maintain enterprise Power BI reports, dashboards, and semantic models for healthcare, finance, and operations. Build complex DAX measures, optimize performance, administer Power BI Service (security, refreshes, gateways, deployment), establish governance, and collaborate with stakeholders to translate requirements into actionable analytics.

Support data migration projects by preparing, validating, transforming, and testing data. Validate field mappings, run SQL queries, perform data quality checks and reconciliations, document processes and findings, and assist cross-functional teams and clients under senior guidance.

Analyze, clean, and validate data from multiple sources; develop and run SQL queries; calculate KPIs and financial metrics; create visualizations and present insights to non-technical stakeholders; collaborate with business partners to translate requirements into data-driven recommendations.

Support data migration projects by preparing, validating, mapping, transforming, and testing data. Use SQL and data tools to perform quality checks, reconciliation, and troubleshooting. Collaborate with Engineering, Implementation, and Client Success teams, document processes and findings, and assist client migration activities under senior guidance.

Lead and grow a data engineering team, set technical standards and roadmap, architect scalable GCP data solutions (ingest, transform, warehouse, serving), ensure pipeline reliability and data quality, partner with analytics and client teams, drive best practices (CI/CD, IaC, governance), and evaluate new tooling.

The Supply Analyst role involves analyzing marketplace data using SQL, making recommendations on product strategies, and leveraging AI tools to enhance processes and tracking.

Design, deploy, and govern enterprise-scale data architectures and platforms to support analytics and AI. Define modeling standards, integration pipelines, data quality, lineage, and security. Lead technical direction, mentor engineers, evaluate AI tooling, and support proofs of concept and solution roadmaps that enable generative AI and RAG solutions.