Top Data & Analytics Jobs in Seattle, WA
As a Data Scientist at Gauntlet, you will conduct research to improve the safety and efficiency of DeFi protocols through data analysis and mechanism design. You will manage client engagements, produce public-facing research, and create visual dashboards to effectively communicate insights derived from complex datasets.
The Analyst will focus on data visualization and reporting using Tableau and SQL, creating dashboards and reporting solutions that enhance member care and optimize savings. The role requires collaboration with stakeholders to develop impactful reports and analytical KPIs across the company, while ensuring quality in dashboard creation.
As an Analytics Engineer at Rec Room, you will support the data warehouse and analytics layer, develop ELT pipelines, design dashboards, and collaborate with various teams on data modeling and analysis, while ensuring data quality and scaling infrastructure.
The Risk Analyst will assess and analyze fraudulent activities, oversee operational quality assurance, engage stakeholders through reporting, collaborate cross-functionally, and monitor suspicious transactions using internal tools.
As a Data Scientist at EverQuote, you will develop and deploy AI and machine learning models to solve business problems. You will work in a cross-functional team, utilizing statistics and machine learning, while mentoring teammates and communicating results to a variety of audiences. Your role is essential in driving business improvements through innovative data solutions.
Lead Data Engineer will design data models, develop data pipelines, and integrate Palantir Foundry with external systems. The role requires hands-on experience with data integration and application development, using tools like Python and SQL, while also providing guidance to developers and collaborating with stakeholders.
The Senior Financial Analyst will manage financial reporting and forecasting, analyze performance against plans, create SQL queries for data analysis, maintain financial models, support annual planning processes, and assist with cash management and reporting tasks. They will also help others develop SQL queries and respond to ad-hoc reporting requests.
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The Data Engineer III is responsible for architecting, building, and maintaining scalable tooling and infrastructure for data management. Key tasks include constructing automated data pipelines, managing data storage, and performing data analysis and troubleshooting. Collaboration with Data Scientists and Business Analysts is essential to enhance data models for informed decision-making, alongside monitoring data quality and supporting data infrastructure needs.
The Senior Backend Engineer will lead the development of fraud detection solutions, focusing on backend software, traffic analysis, and the implementation of scalable systems. Responsibilities include working with data sets to identify fraud patterns and enhancing backend systems for real-time processing, collaborating with cross-functional teams.
The Senior GRC Analyst will execute engagements related to NIST and CIS frameworks, assess client governance, risk, and compliance programs, develop custom methodologies, and collaborate with offensive security teams. Responsibilities include delivering technical reports and staying updated on industry trends to enhance client security postures.
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