Top Data & Analytics Jobs in Seattle, WA
As a Senior Data Analyst at Remitly, you will analyze customer support experiences, collaborate with product and program managers, and communicate insights to stakeholders. Your role involves defining success metrics, managing analytics projects, and delivering actionable recommendations to improve customer experiences.
The BI Engineer III will design, develop, and maintain reports, dashboards, and analytics to drive business decisions. The role requires collaboration with supply chain teams to analyze data, identify risks, and optimize processes. Responsibilities also include data extraction, transformation, and ensuring data integrity across various platforms.
The Manager of Customer Lifecycle Analytics at Nordstrom will lead a team to optimize lifecycle marketing strategies through data-driven solutions. This role involves storytelling with data, managing analytics projects, contributing to experimental designs, and presenting insights to stakeholders to drive business value and grow active customers.
The Senior Data Engineer will design and develop scalable data analytical solutions, create distributed data processing pipelines, optimize data performance, and collaborate with cross-functional teams to deliver BI solutions. The role involves mentoring engineers and maintaining production support.
The Sr. Data Engineer will design and develop scalable data analytical solutions, create distributed data processing pipelines, mentor junior engineers, and collaborate with various teams to enhance customer experience through Nordstrom's analytical platform.
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As a Senior Associate, you will be part of a team focused on solving complex business issues through innovative technology solutions. Your responsibilities will include leading projects, conducting workshops, and utilizing various methodologies to enhance customer engagement and operational efficiency.
As a Senior Associate in Utilities Customer Functional Analyst, you'll leverage feedback for personal growth, delegate tasks to foster team capabilities, and apply critical thinking to unstructured problems. You'll utilize tools to derive insights, ensure quality and accuracy in project work, and enhance client business processes through effective communication and relationship building.
As a Senior Technical Sourcer for Snap's Machine Learning Recruiting Team, you'll identify, source, and screen candidates for machine learning roles. You'll work with recruiters and hiring managers, develop strategies for a robust candidate pipeline, use hiring metrics for efficiency, and provide a positive candidate experience.
As a Data Engineer at Snap Inc, you'll build and support data pipelines, develop tooling, and ensure data quality across various teams. You will communicate complex processes clearly, prioritize stakeholder requests, and drive the adoption of created datasets.
As a Data Engineer at Snap Inc, you will collaborate with various stakeholders to create high-quality datasets, develop data pipelines, ensure data governance, and communicate complex technical information effectively. You will also be responsible for maintaining data quality and supporting the data infrastructure systems.
The Data Manager will develop data solutions for Risk by collaborating with leadership to drive data-driven decisions. Responsibilities include data pipeline development, transformation, modeling, storage, API development, collaboration with AI/ML teams, and implementing data governance practices.
The Data Engineer II will collaborate with teams to design and build data pipelines, facilitating metrics analysis for subscriber movements. Responsibilities include developing and maintaining ETL routines, defining table structures, and implementing data quality checks across various platforms, while conducting SQL optimization tasks.
The Senior Analyst in Corporate Strategy at Qualtrics will work closely with company leadership to shape strategic direction and identify growth opportunities. Responsibilities include analyzing market trends, developing decision-making frameworks, collaborating with cross-functional teams, and running proprietary research to inform strategic decisions.
The Senior Supply Chain Analyst manages the end-to-end colocation procure to pay process, oversees budget and expenditures, analyzes costs, drives cost reduction initiatives, ensures accurate billing, and collaborates with various teams for optimal contract execution.
The Senior Principal Machine Learning Engineer will guide the development and deployment of advanced machine learning algorithms, collaborating closely with various teams to integrate AI functionalities across Atlassian products. Responsibilities include designing system and model architectures, conducting experiments, mentoring other ML engineers, and ensuring the effective use of AI in the product suite.
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