Top Data Analyst Jobs in Seattle, WA

The Staff Data Analyst will support Operations leaders with analytics projects focusing on enterprise applications, optimizing systems, and providing data-driven insights.

This role involves analyzing customer data, developing insights to improve product and revenue strategies, and mentoring other analysts.

The Recruiting Data Analyst will enhance recruitment analytics, streamline operational processes, develop dashboards, and collaborate with teams to drive efficiency and data integrity.

As a Data Analyst, you will analyze healthcare data, collaborate with cross-functional teams, and provide insights to improve healthcare services.

The Data Analyst II will support RCM by building reporting infrastructure, developing dashboards, and maintaining data consistency to improve revenue collection processes at Spring Health.

The Senior Claims Data Analyst transforms claims data into insights, manages data extraction, develops reports and visualizations, and collaborates across teams.

The Lead Business Analyst will enable data-driven decision-making by building analytical tools, defining KPIs, and translating data insights into actionable business strategies.

As a Staff Data Analyst, you'll collaborate with Capital Markets and Lending teams to influence Upstart's capital strategy while driving insights through data and analytics. You'll build financial models, mentor junior analysts, and ensure impactful decision-making across the organization.

Analyze complex media data to derive insights and recommendations, create visualizations, support campaign reporting, and collaborate with stakeholders.

The role involves applying data science to enhance fraud risk management in SMB products, designing experiments, and collaborating with various teams for product improvements.

The Data Analyst at Synapse Health will develop reports, provide data-driven insights, and support stakeholders by transforming complex data into actionable solutions.

Lead a team of data analysts in data integration, develop data quality standards, analyze datasets, create reports, and mentor team members.

The Lead Data Analyst at SeatGeek will collaborate with product, design, and engineering teams to drive data-informed decision-making, leading complex analytical projects and mentoring peers in product analytics.

As a Senior Marketing Data Analyst, you will lead complex analytics projects, optimize marketing performance through experiments, and collaborate across teams to provide insights for growth and retention strategies.

The Senior Business Data Analyst role involves utilizing SQL for data analysis, documenting business requirements, and managing client onboarding processes.

As a Business and Operations Analyst III, you'll conduct data analyses, provide strategic insights, design dashboards, and enhance PBM services.

The role involves establishing data-driven goals, designing predictive models, communicating findings, contributing to policy, mentoring data scientists, and leveraging data for growth.

The Senior Data Scientist will optimize supply chain processes through data-driven models, influence supply teams with insights, and mentor other analysts.

As an AI-First Data Analyst, you'll conduct causal analyses, build AI tools, and design data pipelines to support business decision-making while collaborating with executives.

The Data Analyst will develop machine learning models, manage data lifecycle, and create dashboards for the MEDCHART system, ensuring insights are effectively communicated to stakeholders.

The Senior Data Analyst will build the data infrastructure, analyze business data, and provide actionable insights to support strategic decisions and product management at Thrive Market.

Analyze caller behavior data and develop reports using SQL and Tableau. Collaborate with stakeholders to enhance IVR experiences through data-driven insights.

The Data Analyst Consultant will analyze complex datasets, deliver insights for decision-making, manage data lifecycles, and create dashboards for clients.

As a Data Analyst, you will translate business requirements into technical specifications, analyze data quality, and work with data tools to enhance analytics.

The Data Analyst will support the Customer Success Analytics team by analyzing data, answering analytics questions, and contributing to the code base while managing project implementations and improving customer insights through dashboards.