Top Data & Analytics Jobs in Seattle, WA
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.
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.
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.
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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.
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.
Analyzing data about Starlink enterprise customers and translating it into reporting, recommendations, and tooling to improve both customer experience and internal operations.
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.
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.
The Senior Scientist in Bioinformatics will develop and run computational pipelines for analyzing genomic and transcriptomic data, focusing on immune-related genes. Responsibilities include method development, benchmarking genotyping methods, data processing and analysis, maintaining bioinformatics workflows on AWS, and collaborating with software engineers to enhance data analysis capabilities.
As a Data Scientist II, you will analyze talent and diversity data to support business decisions at Redfin. The role requires deep analysis of People data, collaboration on R code for statistical significance, and delivering Tableau dashboards.
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