Top Data & Analytics Jobs in Seattle, WA
Seeking a Business Analyst with expertise in data wrangling, analysis, and KPI tracking for the Commerce team. Responsibilities include data cleansing, SQL querying, visualization creation, and collaborating with cross-functional teams to provide actionable insights.
Seeking a Staff Data Scientist to analyze user behaviors, develop personalized segmentation strategies, track acquisition trends, and collaborate with cross-functional teams. Must have 8-10+ years of experience using analytics to drive key business decisions and a background in statistical analysis, experimentation design, and multivariate experiments.
Seeking a Sr Director for Global People Services & Analytics at Cloudflare. Responsible for overseeing the employee lifecycle, global mobility, and people analytics. Will lead strategic initiatives to enhance the employee experience and drive growth. Must be innovative, collaborative, and technically-oriented.
The People Analytics Manager at Cloudflare is responsible for utilizing Tableau to analyze and visualize complex people-related data, leading the design and development of user-friendly analytics dashboards, collaborating with cross-functional teams to gather user feedback, and promoting a data-driven culture within the organization.
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Square Compliance Quality Control Analyst responsible for reviewing decisions made by global Compliance operations teams, providing training, identifying gaps, recommending enhancements, and reporting to the Square Compliance Quality Control Lead. Requires non-traditional work hours across international timezones.
Seeking a Senior Data Engineer to participate in shaping the technical architecture, develop scalable data models, maintain ETL/ELT data pipelines, create visualization and reporting, ensure data quality, and support the Data Warehouse. Telecommuting is an option.
As an Information Security Technical Analyst, you will support ongoing triage and case management of vulnerabilities, analyze and prioritize vulnerabilities, collaborate with cross-functional teams, influence business risk decisions, generate reports on vulnerability health, and contribute to process improvement activities.
Develop state-of-the-art algorithms and models to enhance customer support experiences through AI tools. Collaborate with teams to understand business needs and create impactful solutions. Monitor and evaluate model performance to make necessary adjustments.
This role is part of our Cash App's ML team and will be deeply embedded within one of our product teams. You will experiment with various modeling techniques on our comprehensive customer data and see your solution through to production by partnering cross-functionally with finance, product, and engineering teams.
Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets and technologies, contribute to thought leadership, possess strong communication and problem-solving skills.
Building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, enhancing ML Engineering platforms, implementing ML Ops, writing production-ready code, collaborating with teams, and staying updated on the latest technologies.
The Senior Data Analyst, Consumer Product at Remitly will apply data science and analytics techniques to drive decision-making within the core product. Responsibilities include improving Authentication systems and product development, generating insights, and defining product strategies. This position offers a competitive salary range and benefits package.
Seeking a Machine Learning Architect to elevate the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing robust AI architectures, selecting appropriate AI technologies, collaborating with cross-functional teams, and optimizing ML systems for performance and scalability.
Partner with Supply Chain team to design metrics, reports, and analyses for Sales and Operational Planning decisions. Analyze demand and resource requirements, optimize customer experience and fulfillment efficiency. Extract data using SQL, R programming, and collaborate with technology teams. Present analysis to company leadership and improve reporting processes.
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