Top Remote Data & Analytics Jobs in Seattle, WA
The Reporting Analyst will design and develop moderately complex reporting solutions, undertake analysis, development, and testing, troubleshoot incidents, prepare documentation, and deliver high quality Reporting & BI solutions with minimal maintenance.
The Senior Data Analytics Specialist will collaborate with public safety professionals, providing expert support and developing data analytics solutions. Responsibilities include creating dashboards, training personnel, gathering feedback, and enhancing services, while ensuring clear communication between technical teams and clients.
The Data Analytics Associate will work with public safety professionals to understand their needs and convert them into technical solutions. Responsibilities include providing support and training to clients, developing data analytics dashboards, gathering customer feedback, and collaborating with management to improve processes within public safety operations.
As a Data Solution Consultant at Guidewire, you will engage with property and casualty insurance companies to advise on the Data Platform and its benefits. Your role involves technical sales support, conducting presentations, identifying platform requirements, and collaborating with clients to meet business objectives. You will leverage your data management experience and insurance domain knowledge to drive successful solutions.
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As a Strategic Fraud Analyst, you will design and implement fraud prevention strategies, analyze fraud patterns, collaborate with cross-functional teams, and support customer fraud strategies. You'll also produce reports on fraud trends and stay informed about financial fraud developments.
The Principal Data Engineer will design and maintain ETL pipelines, collaborate with teams on data integration, implement data transformation logic, and ensure data quality. The role requires strong organizational skills, a focus on data governance, and experience working with large datasets and ETL technologies.
The Senior Product Data Analyst role involves analyzing product usage and customer outcome data to influence product features and operational efficiency. Responsibilities include building data models, developing reports and dashboards, optimizing data utilization for strategic decisions, and collaborating with multiple departments to support business needs.
The Senior Analytics Engineer will drive data modeling, optimize analytics processes, and collaborate with cross-functional teams to enhance product operations at HubSpot. Responsibilities include managing high-value data assets, creating scalable data models, and defining standards for analytics practices.
The Risk and Underwriting Analyst will support NMI's risk management program by monitoring risk issues, conducting risk assessments, managing transaction reviews, and collaborating with banks and processors to ensure compliance and mitigate losses from fraud.
As a Data Analyst Mentor at Udacity, you will review project submissions and provide feedback to students, ensuring work originality and maintaining a review time of less than 8 hours. You'll respond to technical queries promptly on the Knowledge platform, offering thorough and accurate support to enhance student learning experiences.
As a Mentor for Data Analysts, you'll provide technical support and feedback on project submissions, ensuring originality and maintaining quick response times to student queries. You'll review projects, guide students through technical challenges, and help them develop essential data analysis skills.
As a Big Data Engineer, you will collaborate with cross-functional teams to design and implement scalable data pipelines, ensure data quality, and provide technical support for data migration projects. You will utilize Azure tools and technologies to deliver high-quality data solutions across various business areas.
The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.
As a Big Data Engineer, you will lead data migration efforts and design scalable data pipelines using Azure services. Collaborating with cross-functional teams, you'll ensure data quality and resolve technical challenges during transitions. You'll leverage your extensive IT experience, particularly in Azure Databricks, to develop robust data solutions that meet business needs.
Top remote Companies in Seattle, WA Hiring Data + Analytics Roles
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