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Top Remote Senior Level Data & Analytics Jobs in Washington DC,
The Manager of Marketing Data Science will define marketing analytics strategy, analyze data to optimize marketing efforts, ensure alignment with business goals, and provide insights on campaign performance. They will lead cross-team collaborations for media activations and act as a subject matter expert in attribution and media innovations.
As a Senior People Operations Analyst at Reddit, you will analyze data to drive insights on talent acquisition, employee engagement, and diversity. Your role will involve collaborating with cross-functional teams and presenting findings to senior leaders to influence strategic decisions. You will utilize people data to help shape the company's future and improve employee experience.
The Senior Analyst, Sales Incentive Compensation will manage the implementation and administration of sales incentive plans, ensuring data accuracy and integrity in calculations and reporting. Responsibilities include preparing commission reports, supporting compliance projects, addressing inquiries from the sales team, and identifying gaps in processes.
As a Senior Data Analyst at Underdog, you will support multiple teams by developing reporting, analyzing business and customer data to inform strategy, and identifying trends. This role involves building dashboards, conducting root cause analysis for fraud and payment issues, and collaborating with stakeholders to enhance operations and fraud detection.
The job involves analyzing metallic and reinforced concrete structures for SMR-300 plants, utilizing various engineering methods and software. Responsibilities include performing static and dynamic analyses, developing designs based on requirements, preparing design deliverables, and ensuring documentation meets engineering and licensing standards.
The Head of Applied AI will lead the Applied AI Research team in developing innovative AI technologies for the Descript product. Responsibilities include managing research projects, mentoring team members, collaborating on product integration, developing research strategies, and representing the company at events.
The Senior Data Engineer will transform transactional data into datasets for reporting and analytics, develop and maintain SQL for ETL and reporting, and perform database and software administration tasks while collaborating with team members and learning new tools.
The Senior Data Engineer will enhance Wizard's data collection, storage, and analysis by developing scalable data infrastructure, building ETL pipelines, and collaborating with cross-functional teams for data-driven decision making. Responsibilities also include designing backend solutions for microservices and managing third-party integrations.
As Privacy, AI and Data Protection Counsel, you will work closely with the Global Privacy Officer to manage privacy, data protection, and AI compliance programs. Responsibilities include providing compliance guidance, reviewing agreements, advising on privacy-related issues, and staying updated on global regulations.
The Data Engineer will support analytics initiatives by developing and maintaining data pipelines, interacting with engineering teams in China, and ensuring data quality. Responsibilities include building scalable data warehouses, optimizing existing pipelines, and collaborating with leadership and stakeholders on data needs.
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