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Top Senior Level Data & Analytics Jobs in Washington DC,
As a 2nd VP and Actuary, you'll direct interest rate and liquidity risk management, optimize ALM and capital analytics strategies, and drive economic capital planning while collaborating with various teams. This role focuses on strategic financial decision-making with a heavy emphasis on risk management and financial modeling within the organization.
The Principal Data Scientist leads the development of data-driven solutions, employing advanced analytics and machine learning to derive actionable insights. This role involves managing complex projects, collaborating with cross-functional teams, and developing training materials to enhance data literacy across the company.
The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.
As a Staff Data Scientist at Zora, you will manage complex data challenges, design and build data systems like ETLs and dashboards, and promote a culture of experimentation through A/B testing. You will also develop metrics for products and contribute to algorithms and recommendations, collaborating with stakeholders to drive data-led decisions.
As a Senior Pricing Analyst, you will manage the pricing proposal process, conduct market research, prepare cost estimates, and develop pricing strategies for proposals. The role involves analyzing customer RFPs, building cost models, and collaborating with cross-functional teams to ensure accurate and competitive pricing solutions.
The Sr. Business Systems Analyst will lead the implementation of technical systems solutions for energy efficiency and renewable technologies, manage software system life cycles, conduct analysis to develop advanced solutions, and mentor junior analysts. This role requires collaborating with clients and understanding business drivers to enhance internal and external systems.
As an Azure Data Architect, you will deliver innovative data solutions tailored to client needs, including designing and implementing analytical approaches, leading multi-disciplinary tech teams, and ensuring high-quality data products. You will also build a Data Engineering community and collaborate on data architecture with client teams.
The Principal BI Engineer at SageSure will design and build complex data models, provide architectural guidance, and lead a team of BI developers. Responsibilities include developing ETL/ELT processes, optimizing data development projects, and supporting advanced analytics initiatives. The role involves leadership in data architecture and mentoring developers to ensure best practices throughout the BI team.
The Principal Data Scientist will lead the predictive analytics practice, focusing on deploying machine learning models for financial metrics and customer forecasts, collaborating across teams to enhance operational capabilities and model performance.
The Data Engineer will work closely with software engineers to aggregate various data sources and develop actionable dashboards for business leaders at a premier banking client.
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