Top Data Analyst Jobs in Seattle, WA

The Senior Data Analyst will analyze data, build models, and provide insights to support decision-making for operational and leadership teams, while collaborating with technical and non-technical stakeholders.

The Data Analyst will collect and analyze data to inform business decisions, create visualizations, and collaborate with teams to develop data models.

The Principal Data Analyst will design claims models, provide data insights, and collaborate with executives to drive strategic decisions.

The Data Analyst collects, analyzes, and interprets data, producing reports and visualizations to support strategy and decision-making.

As a Senior Data Analyst, you will work with business partners to enhance data-driven decision-making on payments, develop dashboards, and analyze strategic opportunities while effectively communicating insights across teams.

The Strategic Finance Manager will lead financial modeling, manage budgeting cycles, mentor finance analysts, and optimize financial processes.

The Business Data Analyst will design, develop, and optimize SQL databases and ETL pipelines while ensuring data accuracy in accounting workflows and compliance with GAAP standards.

The Revenue Data Analyst prepares and analyzes revenue data to inform business decisions, supports CFO and finance teams, and drives process improvements.

The Data Analyst processes large data sets to provide insights, aids in KPI development, and mentors the data team. Essential skills include SQL and data visualization.

The Associate Conversion Data Analyst will analyze client data, create data maps for migration, ensure data quality, and support the Conversion team with documentation and feedback.

As a Data Analyst, you will develop production-grade data models, manage business metrics, and ensure data quality and usability across teams.

The Data Analyst will collect and interpret data, create visualizations, collaborate with teams, and develop algorithms for decision-making.

The Product Data Analyst at Counterpart Health will analyze product metrics, design experiments, and deliver insights to optimize healthcare outcomes and support primary care.

The Data Analyst develops, automates, and compiles data to prepare reports, analyze data for business intelligence, and create forecasting tools.

The Data Analyst will build dashboards, perform ad-hoc analyses, ensure data integrity, and collaborate across teams to refine data insights and enhance reporting.

The Data Analyst will perform advanced data modeling and analysis, manage data collection systems, and communicate findings to stakeholders, driving data-informed business decisions.

The Business Data Analyst will analyze data, create reports, provide technical support, ensure data integrity, and collaborate with management to fulfill data needs while adhering to confidentiality standards.

As a Data Analyst at Stripe, you will analyze large datasets, build data pipelines, create dashboards, and deliver actionable insights to drive business decisions.

The Business Intelligence Analyst will design analytics solutions, integrate data, develop insights, and create dashboards to support various business units.

The Data Analyst will manage BI & reporting pipelines, translate business requirements into KPIs, and create reports and dashboards while ensuring data accuracy.

As a Data Analyst, you'll analyze datasets, derive insights, build data pipelines, and collaborate with teams to meet data needs.

The Senior Data Analyst will develop metrics frameworks, optimize reporting pipelines, and provide actionable insights through data analysis using SQL and Tableau.

The Data Analyst will analyze marketing and ecommerce data, build reporting, dashboards, and KPIs, and enhance marketing attribution modeling.

The Enterprise Data Analyst III is responsible for managing internal data products, ensuring data accuracy, stakeholder communication, and creating actionable insights through dashboard design and reporting.

The Data Analyst III will analyze data for the organization, resolve data issues, monitor data quality and support ETL processes, working independently in a collaborative environment.