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Top Data & Analytics Jobs in Seattle, WA

1,650+ Job Results
3 Days Ago
Seattle, WA
35 Employees
167K-261K Annually
Entry level
35 Employees
167K-261K Annually
Entry level
Artificial Intelligence
As a Research Scientist, you'll conduct research to enhance productivity and the discovery experience for scientists, develop AI tools, collaborate with researchers, mentor early-career scientists, and publish your findings.
3 Days Ago
Seattle, WA
31 Employees
170K-190K Annually
Entry level
31 Employees
170K-190K Annually
Entry level
Robotics
As an AI Research Scientist, you will advance AI/ML algorithms for robotics, integrate solutions into robotic applications, and publish research findings. The role requires collaboration with cross-functional teams and focuses on innovation in AI technologies for autonomous robots.
3 Days Ago
Seattle, WA
2,203 Employees
Senior level
2,203 Employees
Senior level
Fintech
The Senior Digital Insights Manager at PitchBook will analyze digital marketing performance, providing data-driven insights to inform strategic recommendations. The role involves reporting, developing narratives from data, monitoring KPIs, and collaborating across teams to enhance digital marketing strategies.
Top Benefits:
401-K
401-K Matching
Child Care Benefits
+48 More

Featured Jobs

2 Days Ago
Seattle, WA
Remote
22 Employees
Entry level
22 Employees
Entry level
Consulting • Financial Services
The Survey Data Analyst will manage survey data initiatives, develop questionnaires, analyze data, summarize findings, and make recommendations. Responsibilities include data processing, quality control, and supporting project closeout activities. The role requires interaction with clients to improve operations through data-driven insights.
3 Days Ago
Seattle, WA
21,258 Employees
138K-220K Annually
Senior level
21,258 Employees
138K-220K Annually
Senior level
eCommerce • Travel
As an Oracle Functional Analyst III, you will lead the implementation of Oracle EBS financial modules, provide ongoing support, troubleshoot issues, analyze requirements, and develop functional specifications. You will collaborate with business users and technical teams to enhance financial processes, configure systems, conduct testing, and provide training to end-users.
3 Days Ago
Seattle, WA
Remote
39 Employees
Entry level
39 Employees
Entry level
Security • Consulting • Cybersecurity
The Privacy Analyst will focus on privacy risk management and regulatory compliance, conducting privacy impact assessments, collaborating with stakeholders, and ensuring organizational compliance across multiple privacy frameworks like GDPR and HIPAA.
3 Days Ago
Seattle, WA
74,000 Employees
Mid level
74,000 Employees
Mid level
Healthtech • Insurance
The Quality Review and Audit Lead Analyst performs complex audits of network pharmacies to identify risks and ensure compliance with policies and regulations. This role requires developing audit plans, analyzing claims, producing reports, and communicating findings to stakeholders, while mentoring junior team members.
Top Benefits:
401-K
Adoption Assistance
Child Care Benefits
+22 More
3 Days Ago
Seattle, WA
8,879 Employees
110K-145K Annually
Senior level
8,879 Employees
110K-145K Annually
Senior level
Aerospace • Other
Analyzing data about Starlink enterprise customers and translating it into reporting, recommendations, and tooling to improve both customer experience and internal operations.
3 Days Ago
Seattle, WA
248 Employees
Mid level
248 Employees
Mid level
eCommerce • Software • Analytics • Business Intelligence • Consulting
As a Data Scientist at Stackline, you'll develop Machine Learning solutions, analyze vast datasets, and collaborate with engineers and product teams. Your role involves creating and validating data models, providing insights, and employing modern data science techniques to drive strategic growth.
Top Benefits:
401-K
401-K Matching
Company Equity
+40 More
3 Days Ago
Seattle, WA
5,360 Employees
Senior level
5,360 Employees
Senior level
Payments • Software
The Data Engineer will conceptualize and own data architecture for large-scale projects, advocate for data quality, productize data ingestion and delivery, optimize data pipelines, conduct SQL investigations, participate in code reviews, and mentor team members.
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