Top Data & Analytics Jobs in Seattle, WA

The Senior Data Engineer will develop and scale a high-traffic digital ad exchange, mentor junior engineers, implement software best practices, and contribute to the architectural strategy. Responsibilities include shipping features, optimizing performance, and enhancing the overall platform.

The Marketing Data & Analytics Manager will develop analytics frameworks, analyze user data, create dashboards, and collaborate with engineering to optimize marketing strategies and improve customer experiences through data-driven decision making.

As a Data Specialist, you will bridge the areas between Mission and Engineering Teams by leveraging open-source intelligence (OSINT) to enhance data collection strategies, ensuring mission success for critical customers. Your role involves developing new data methods, assisting with time-sensitive projects, and improving operational strategies based on user needs.

As a Senior Analytics Engineer at Forward Financing, you'll design and maintain data models, collaborate with various teams to enhance analytics platforms, ensure data quality, and integrate third-party data sources to support business decisions.

As a Risk Analyst, you'll analyze data, monitor payroll activities, and mitigate fraud and credit risks while ensuring compliance. Your role includes reviewing accounts for onboarding and regulatory adherence, and escalating potential fraud incidents with documentation and resolution tracking.

The Senior Analyst on Strive’s Performance Team will collaborate with various teams to track performance against organizational priorities. Responsibilities include conducting analyses, delivering customer-facing reports, and preparing presentations for executives. A focus on monitoring performance metrics and identifying improvement opportunities is essential.

Headway is seeking a Senior Data Engineer to help create access to affordable, quality mental healthcare across the United States. This role involves collaborating on data infrastructure design, partnering with product/engineering for best practices, creating data pipelines for business insights, and building real-time data pipelines in coordination with the Data Science team.