Top Remote Data & Analytics Jobs in Seattle, WA
As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.
The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.
The Data Scientist will work on custom software and machine learning solutions, contribute to alignment research and develop classification methods. Responsibilities include managing data science projects, employing statistical methods, using NLP, and collaborating in Agile environments while maintaining strong self-management skills.
The Senior Data Analyst will evaluate the impact of iMentor's programs by gathering and analyzing data, creating reports and visualizations, and providing analytics support across departments. The role requires a focus on data quality and measurable outcomes to improve program effectiveness.
The Data Conversion and Migration Lead will oversee data migration activities, including developing data cleansing strategies, managing data migration security, and coordinating data validation efforts. This role involves supporting the transition to a new financial system, ensuring accurate data flow, testing migration plans, and documenting all activities.
As a SecOps Analyst, you will monitor security events, identify threats, and respond to incidents for cloud-based healthcare solutions. Your role includes using SIEM tools, collaborating with IT and cybersecurity teams, ensuring compliance with HIPAA, and enhancing security measures.
The Program Reporting Analyst is responsible for producing month-end and surplus lines reporting, analyzing financial data, maintaining reporting tools, ensuring regulatory compliance, and collaborating with cross-functional teams to improve reporting processes and accuracy.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
As a Senior Manager of People Strategy and Analytics, you will collaborate with senior leadership to implement HR strategies, drive operational efficiency, and leverage data-driven insights to foster an engaging workplace. You'll establish metrics to measure performance, streamline processes, and lead change initiatives across the People Team, ensuring alignment with Attentive's goals.
As a Data Scientist, you will create models for predicting order clearances and optimize pricing through experimentation. Your role involves developing data pipelines, automation, and deploying machine learning services with tools like Python and SQL.
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