Top Remote Data & Analytics Jobs in Washington DC,
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The Senior Analyst, Pricing & Product is responsible for conducting competitive analysis, researching market pricing, establishing metrics for new product lines, and monitoring market competitiveness to ensure profitability. This role involves collaborating with various teams, utilizing data analytics, and supporting ongoing commercial auto product development processes.
The Lead Sales Compensation Analyst at Motive will manage day-to-day sales commissions processes, provide resolution for inquiries, validate data through analysis, and support system updates while ensuring compliance and process improvement.
The Performance Analyst will analyze data, develop KPIs, and provide actionable insights to improve business performance. Responsibilities include writing SQL queries for data extraction, creating performance reports and dashboards, and collaborating with stakeholders for data needs.
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The Data Engineer II role at Bestow involves building scalable data solutions, improving data quality and availability, creating data models and pipelines for analytics and machine learning, and collaborating with various teams to ensure efficient data management.
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
The Sr. People Data Analyst role focuses on leveraging data to improve employee engagement and retention. Responsibilities include analyzing people data, developing dashboards and metrics, and collaborating with HR leaders to provide actionable insights. The analyst will also ensure data integrity and use visualization tools to communicate findings effectively.
As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.
As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
The Senior Data Engineer will design and architect data pipelines and ETL processes, maintain data lakehouse solutions, optimize data strategies across cloud platforms, mentor junior engineers, and ensure the high availability of data infrastructure while collaborating with data scientists for advanced analytics initiatives.
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