Top Data Analyst Jobs in Seattle, WA

Serve as customer-facing product liaison and senior analyst for Federated Access Onboarding. Troubleshoot complex IAM access issues, analyze support data to identify trends, coordinate onboarding with customers and vendors, document product information, support escalations (including possible 24x7), and collaborate with cross-functional teams to improve user experience and ensure compliance with security standards.

Serve as data steward and single point of contact for data domains: gather and translate business requirements, define metadata and lineage, manage access and data quality, partner with engineering to design and deploy ETL/ELT pipelines, enforce governance and compliance (including export controls), and run stewardship and governance forums to improve data availability, quality, and observability.

Serve as data steward and single point of contact for data domains: gather and translate business requirements, define metadata and glossaries, manage data access and governance, implement and monitor data quality and lineage, partner with engineering to design and deploy ETL/ELT pipelines, establish KPIs/SLAs, and lead governance forums and onboarding.

As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

The SQL Data Analyst will develop BI solutions, create scalable reports, and work with SQL Server and Microsoft BI technologies to enhance data visualization and analysis for clients.

The SQL Data Analyst will focus on Business Intelligence development, data modeling, and advanced SQL query capabilities while working with Microsoft technologies.

We are seeking a DevOps Data Analyst with 8+ years of experience in CI/CD, BI development on Microsoft platforms, and advanced data analysis skills. Responsibilities include developing SSIS packages, SQL Server deployment, and OLAP Cube development.

Manage market and index data vendors, conduct due diligence, support data governance, partner with investment teams to resolve data issues, advise on licensing and contracts, and improve market data processes and controls to deliver scalable solutions.

As a Data Analyst II, you will analyze web and app traffic data to generate insights, develop metrics, evaluate experiments, and enhance user engagement and conversions.

The Data Strategy & Sourcing Analyst transforms product data into a strategic asset, ensuring data integrity and driving cost savings through sourcing. Responsibilities include establishing a Single Source of Truth, conducting data analysis, and collaborating with teams for financial impact. The role requires strong analytical skills, proficiency in SQL, and experience with data management tools.

Analyze A/B experiments and large datasets to determine why experiments performed well or poorly. Communicate results to business partners, validate and improve data-driven decision processes, build key metrics and modeling reports, and collaborate with business and engineering stakeholders.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Customer-facing analytics role partnering with life sciences teams to design and execute real-world evidence studies using EHR data. Translate research questions into analytical approaches, run analyses in SQL/R/Python, advise on study design and bias mitigation, deliver rapid and deep investigations, support publications, and provide technical troubleshooting and enablement while informing product improvements.

Partner with business teams to define analytics roadmaps, build dashboards and visualizations in Tableau, write complex SQL for ad hoc analysis, collaborate with Data Engineering to evolve the data warehouse, maintain a data catalog/dictionary, set data quality and governance standards, define SLAs for data products, troubleshoot performance issues, and mentor junior analysts.

We are seeking an experienced data analyst to maximize our service offerings through data mining, generation, and visualization, while producing goal-oriented reports.

Work with large-scale datasets to deliver advanced analytics, predictive models, and executive dashboards. Perform statistical analyses, prepare data pipelines, build reproducible workflows, and translate findings into strategic recommendations for clients and leadership. Collaborate across engineering, product, and strategy to improve analytics products and ATLAS platform capabilities.

Build and maintain Snowflake data warehouse and ETL/ELT pipelines, integrate data sources (NetSuite, Jira, portals), own BI layer and dashboards (HEX/Tableau/Looker), ensure data quality and governance, partner with leadership to translate operational goals into data models and insights, and support cross-functional analytics and automation.

The role involves building and scaling a Closed-Loop Design Program that enhances pre-sales engineering through data science and analytics in supply chain automation.

As a Data Analyst, you will create dashboards, analyze data, and ensure data quality while working with the VP of Finance.

Lead BI developer owning end-to-end reporting for marketing verticals. Build and standardize dashboards, model complex/third-party data (LookML), partner with Yield, Paid Media, and Account Management to deliver actionable analyses that optimize campaign performance, conversion, and revenue.

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

The Senior Marketing Data Analyst at Jamf will analyze marketing performance, optimize demand generation, and drive data-informed decision-making, utilizing expertise in DOMO, Salesforce, and SQL to develop dashboards and reporting capabilities.

The Staff Data Analyst will enhance data usage for strategic decisions, architect scalable models, partner across teams on data solutions, and lead analytics engineering standards.

Collect, validate, and maintain market data across asset classes; perform statistical analysis and modeling; ensure data accuracy through QA; troubleshoot discrepancies; produce reports, dashboards, and recommendations; partner with stakeholders to improve data models and analytics practices.