Top Remote Data & Analytics Jobs in Spokane, WA

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Perform program and outcomes analyses for healthcare informatics using statistical and analytical tools. Extract, clean, aggregate, and visualize large datasets; develop dashboards, reports, and recommendations. Apply advanced analytics and policy knowledge to evaluate programs, guide decisions, and present findings to stakeholders. Collaborate cross-functionally and support testing, implementation, and training.

Work with clients and technology teams to gather and translate business requirements into technical user stories and solutions, propose process improvements, and communicate effectively with stakeholders. Assist in analytical solution delivery and may write/execute SQL queries.

Lead administration, tuning, maintenance, security, backup and recovery, replication, and optimization of mission-critical databases supporting federal healthcare operations. Collaborate with developers, architects, analysts, security teams, operations, and vendors to ensure performance, scalability, data integrity, compliance, and secure PHI/PII handling. Support database migrations, upgrades, monitoring, auditing, and cross-system validation in cloud and integrated environments.

Manage enterprise metadata, business glossaries, data catalogs, and end-to-end data lineage for a federal case management modernization program. Configure governance and metadata platforms, integrate data sources and pipelines, establish standards and workflows, monitor metadata quality, support compliant data sharing, develop governance metrics, document procedures, and train data stewards and business users.

Leads data operations and governance for a large cloud modernization program. Oversees data platforms, pipelines, integrations, analytics environments, incidents, service requests, releases, performance, resilience, and data quality. Coordinates cloud, engineering, application, cybersecurity, and infrastructure teams; maintains operational documentation, dashboards, metrics, and risk logs. Partners with governance and engineering teams to implement metadata, lineage, stewardship, automation, CI/CD, observability, and SRE practices. Leads personnel, manages escalations, briefs executives, and drives continuous operational improvement.

Own risk analytics initiatives that improve repayment rates, optimize collections costs, monitor trends and emerging risks, and evaluate external agency performance. Partner with stakeholders and vendors to develop actionable insights, support strategic decisions, and apply AI tools to automate reporting and improve collections outcomes. The role requires advanced SQL and experience in credit risk, fraud risk, collections, or related lending analytics.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Design, build, and maintain Keboola-based data pipelines integrating multiple business systems to deliver accurate, scalable data for supply chain, logistics, and transportation analytics; collaborate with analysts and engineers; support documentation, governance, and pipeline automation.

Supports IAA’s vehicle enhancement and make-ready program through recurring dashboards, baseline metrics, cost and vendor analysis, SLA tracking, workflow documentation, and process improvement. Identifies trends, risks, bottlenecks, and billing inefficiencies while preparing actionable recommendations and leadership materials to improve margin, cycle time, seller experience, and operational execution across branches and regions.

Provide analytics, automation, and reporting to support compliance testing and monitoring. Collect, validate, reconcile, and analyze large data populations; develop repeatable testing routines, dashboards, and automated solutions; support sampling, exception analysis, reporting, and stakeholder requests to identify trends, risks, and remediation status.