Top Entry Level Data & Analytics Jobs in Seattle, WA

Participate in a rotational analyst development program focused on using data and technology to analyze performance trends, identify business opportunities, and support insights within the insurance industry. Complete curated training, mentorship, and rotational assignments while developing analytical, technical, strategic, communication, and business skills. Use tools such as Excel, SQL, Python, R, SAS, Snowflake, Power BI, and emerging AI technologies.

Develops and maintains Power BI dashboards, reporting infrastructure, and automated reports using EHR and other agency data. Administers and optimizes the Credible EHR, supports data governance and integrity, validates reporting accuracy, and translates clinical, operational, and financial requirements into actionable KPIs and visualizations. Partners with leadership on quality assurance, compliance, operational monitoring, and strategic decision-making.

Build and optimize data pipelines, backend services, forecasting systems, dashboards, and automated workflows supporting Starlink ground-network inventory, logistics, deployment, and reliability. Integrate ERP/MRP and logistics systems, manage hardware demand forecasting, improve supply-chain processes, monitor operational metrics, and support emergency deployments. The role requires collaboration across engineering, infrastructure, logistics, and program teams, with up to 25% travel and occasional extended or weekend hours.

Maintains and verifies client and matter data across business intake and conflicts systems. Processes engagement, waiver, closure, and name-change requests; links parties; maintains ethical walls, database alerts, and administrative files; performs data cleanup and reporting projects; supports technology testing; and communicates intake and risk-management procedures to attorneys, staff, and external parties.

Process and analyze LiDAR datasets and GIS data; learn and use new geospatial software tools; ensure data quality and meet deadlines; communicate with team; complete training provided with potential for full- or part-time placement.

Curate, maintain, and analyze workforce data; build and automate Power BI dashboards; deliver ad-hoc reports and insights; ensure data integrity and cleanliness; partner with stakeholders and leadership to solve data gaps and coach stakeholders on using data to inform decisions.

Work as a Data Architect splitting time between Workday integration development (simple, supportable integrations) and data platform/data warehouse work for a larger DW project.

Reviews and analyzes large business datasets for accuracy, completeness, relevance, privacy, and quality. Conducts document reviews involving PII, identifies data issues and anomalies, provides feedback to support AI training, refines quality assurance standards, and communicates findings to project stakeholders while maintaining data privacy and security compliance.

Designs and leads enterprise data architecture, including warehouses, lakes, lakehouses, data models, integration pipelines, governance, security, and analytics platforms. Partners with engineering, analytics, application, and business teams to create scalable cloud data ecosystems. Responsibilities include technology evaluation, migration and modernization strategy, architecture reviews, documentation, data quality, lineage, metadata, and technical mentorship.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.