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 insurance operations. Complete training, mentorship, and rotational assignments while developing strategic, technical, analytical, communication, and business skills. Use tools such as Excel, SQL, Python, R, SAS, Snowflake, Power BI, and emerging AI technologies to generate business insights.

Conduct econometric and causal inference analyses for Expedia’s travel marketplace. Build models using panel data, difference-in-differences, regression discontinuity, instrumental variables, synthetic controls, and experimental design. Measure marketplace interventions, customer lifetime value, supplier behavior, and long-term business impacts. Collaborate with machine learning, data science, analytics, and product teams; translate findings into visualizations and recommendations for nontechnical stakeholders.

Maintain and troubleshoot Airtable systems and API integrations connecting Salesforce, Coupa, AWS finance tools, and operational data sources. Support automated reporting, dashboards, executive performance reports, data validation, documentation, naming standards, and metadata governance. The role focuses on testing, reliability, issue resolution, and onsite support, with mentorship from a Senior Data Operations Architect.

Leads Project Accounting’s dashboards, reports, data models, analytics, automation, and self-service solutions. Translates business needs into Power BI and enterprise data solutions, establishes data quality controls, supports testing and system implementations, and coordinates with Finance, Operations, IT, and data engineering teams. The role also develops training and documentation, manages enhancement roadmaps, delivers financial KPI reporting, and identifies automation opportunities using Power Apps, Power Automate, Excel, VBA, and related tools.

Supports healthcare data client implementations through ingestion, validation, configuration, data quality evaluation, dimensional modeling, and code maintenance using SQL and Python. Contributes to testing, release practices, documentation, and client communications while using AI-assisted development tools responsibly. The role is designed for an early-career professional developing healthcare analytics, engineering, and consulting expertise.

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.

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.

Build and maintain scalable data pipelines, infrastructure, data models, and APIs using Python, SQL, Airflow, Snowflake, dbt, Terraform, and cloud services. Ensure data quality, security, observability, and reliability while collaborating with analysts, product managers, and engineering teams. Own aspects of the FastAPI data service, including design, deployment, monitoring, and performance. Handle sensitive healthcare data in compliance with governance standards.