Top Data & Analytics Jobs in Seattle, WA
The Compensation Analyst II will manage compensation processes including salary administration, bonus plans, and long-term incentive plans. Responsibilities include evaluating job positions, participating in compensation surveys, administering various compensation modules in Workday, and ensuring compliance with company policies. The role requires audit participation and collaboration with finance and HR teams to ensure accurate compensation implementation.
The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.
The Staff Machine Learning Engineer will develop and fine-tune machine learning models, apply statistical techniques to analyze unstructured data, utilize pre-trained language models, optimize models for production, monitor performance, and work with teams to enhance product features and solutions.
The Credit Analyst at Nabis will collaborate with the Director of Strategic Finance to expand the Nabis Capital platform, analyze creditworthiness of businesses, manage partner relationships, process financing requests, and drive efficiency through process improvements and performance reporting.
The Data Architect is responsible for designing and overseeing enterprise-wide data architecture, ensuring data quality, integrity, and management. They collaborate with teams to develop data solutions, oversee data processes, implement methodologies, and support enterprise data projects to drive organizational goals.
The Data Conversion Specialist will oversee data migration from legacy systems to LINQ’s ERP platform. Responsibilities include leading projects, ensuring accurate data transfer, validating data integrity, and providing post-conversion support. The role demands strong technical expertise and project management skills.
As a Data Scientist, you will identify relevant data sets, perform statistical analyses, and visualize findings to aid clients in strategic decision-making. Collaborating with project managers and engineers, you'll work in an AI-focused environment, leveraging data and experimental methods to enhance business insights and drive product improvements.
The Data Engineer Consultant at DAS42 is responsible for developing data integrations, implementing data warehouses and ETL pipelines, and optimizing clients' data environments. They work collaboratively on projects, document client data environments, and support the pre-sales process while utilizing technologies like Python and SQL alongside data visualization and cloud platforms.
The Senior Data Engineer will build scalable data warehouses and analytic solutions, driving data-informed decisions within the organization. Responsibilities include designing data models, implementing monitoring systems, and managing projects, while ensuring communication among technical and non-technical audiences. The role emphasizes iterative work and adherence to data governance principles.
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The Compliance Operations Analyst supports product, engineering, and customer onboarding by executing compliance related to legal and regulatory requirements. Responsibilities include managing code applications, ensuring compliance, auditing, reporting, analyzing data, monitoring messaging traffic, and maintaining communication with clients and internal teams.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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