Top Data & Analytics Jobs in Seattle, WA
The Sr Performance Analyst will leverage analytical tools to extract, transform, and analyze data to create reports and dashboards. Responsibilities include analyzing performance trends, solving problems, designing customized dashboards, collaborating with business areas, and providing data analysis to support strategic plans.
As a Data Scientist/Senior Data Scientist at Wisetack, you will drive data-driven decision-making in areas such as credit risk and fraud. Responsibilities include designing and deploying predictive models, conducting analyses, and collaborating with teams to integrate solutions into products, ultimately aiming to enhance consumer lending products.
As a Senior Data Scientist, you will develop data-driven methods to measure and manage credit risk using advanced statistical methods and machine learning. Responsibilities include partnering with stakeholders, designing scalable models, manipulating data sources, and synthesizing insights for business decisions.
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As a Senior Product Analyst at Fandom, you will explore user behavior, manage an analytics backlog, build comprehensive user archetypes, create KPIs and dashboards, analyze A/B tests, and present insights to stakeholders. Collaboration with Product and Data teams is essential to optimize product performance and influence roadmaps with data-driven insights.
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The Data Analyst will support Axios Intelligence by providing audience and advertising insights through data analysis and visualization. Responsibilities include pulling reports, creating presentations, and collaborating with internal teams to develop insights for client strategies. The role requires strong analytical and communication skills, along with proficiency in data visualization tools.
As a Fraud Analyst, you will develop policies and processes to mitigate fraud losses for Mudflap’s products. Responsibilities include enhancing fraud strategies, developing detection models, evaluating tools, assessing KPIs, and maintaining performance reports.
The Senior Data Reporting and Development Consultant will implement data solutions for clients, focusing on business reporting needs using Power BI and SSRS. This role requires scoping, designing, and delivering reports while interacting with C Suite clients and using various cloud and on-prem solutions.
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
The Unified Data Reference Architect will lead the development of a unified data reference architecture, encompassing reference models and implementations, to support data integration and analytics. Responsibilities include designing data models, implementing data mesh or fabric, collaborating with stakeholders, evaluating technologies, and ensuring compliance with data governance standards.
Lead a team of data engineers to develop and implement high-quality data solutions and architectures, while driving a data-driven culture within the organization. Collaborate with cross-functional stakeholders, build data pipelines and products, and manage the development of a world-class data lake, ensuring compliance with healthcare industry standards.
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