Top Data Analyst Jobs in Seattle, WA

As a Data Analyst, you’ll analyze data using SQL and Python, maintain reporting systems, simplify complex data, and share insights to influence decisions.

Seeking an experienced Data Analyst to analyze data, create dashboards, provide insights, and partner with teams to improve decision-making.

As a Senior Data Analyst, you'll automate data transformation, create visualizations, and enhance data quality while collaborating across teams to improve decision-making.

The Data Analyst will create dashboards and reports, validate data accuracy, and empower stakeholders with insights, focusing on healthcare metrics.

The Data Analyst will analyze caller behavior data, design Tableau reports, and provide insights to improve customer experience in IVR applications.

Lead Data Analyst will design experiments, conduct analyses, and collaborate with teams to improve customer experiences through data insights and recommendations.

As a Data Analyst in the R&D Engine team, you will build data pipelines and dashboards, support reporting on R&D metrics, and optimize cost metrics using SQL, dbt, and Python.

The Data Analyst will design and deploy dashboards, build ETL workflows, manage Google Analytics, and optimize data processes while collaborating with various teams to provide insights and analytics.

Architect and execute a data-driven strategy to identify business opportunities, build data models, automate reporting, and provide actionable insights.

The Data Analyst will support growth and marketing teams by analyzing campaigns, building dashboards, and providing insights into key metrics.

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

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

The role involves transforming data into insights, collaborating with stakeholders, creating visualizations, and implementing data-driven solutions in a team-oriented environment.

The Senior Product Data Analyst at Revecore will analyze complex data, develop SQL queries, build Tableau dashboards, and communicate insights to support business decisions and project goals.

The Senior Data Analyst will build custom BI dashboards, manage client relationships, and analyze data to optimize media campaigns. Responsibilities include requirements gathering, complex data analysis, and presenting insights to clients.

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.

As a Junior Geospatial Data Analyst, you will support catastrophe risk modeling, handle geospatial datasets, and assist clients with data-related inquiries while ensuring data accuracy and integrity.

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 Payor Data Analyst manages client data, ensures data quality, assists with reporting, and identifies data gaps for improvements.

As a Healthcare Data Analyst, you will create actionable insights, reports, and dashboards using SQL and data visualization tools to inform healthcare decisions and enhance health equity.

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 Senior Accounting & Data Analyst will support financial integration of a reinsurance acquisition, ensure accurate financial reporting, and drive process optimization within the finance team.

The Data Analyst role involves maintaining Yardi data, developing reports, managing data processes, and collaboration across teams to support data-related requests.

As a Senior Data Analyst, you'll develop reporting and analytics tools, create dashboards, partner with product teams, and ensure effective data use across stakeholders in a new venture focused on mental healthcare.

Analyze large data sets to derive actionable insights for advertising campaigns, collaborate cross-functionally, and enhance monitoring capabilities. Communicate analysis results to stakeholders effectively.