Top Data & Analytics Jobs in Washington DC,

The role involves implementing and supporting Credit and Debit Card programs, managing client training, documentation, and GoLive activities. The analyst will configure card functionality, support clients before and after implementation, diagnose issues, and create process documentation while ensuring data integrity during conversions.

The LLM Data Engineer will design, implement, and maintain data pipelines for Generative AI platforms, focusing on techniques like Supervised Fine Tuning and Reinforcement Learning from Human Feedback. Responsibilities include data source integration, optimizing workflows, managing various vector store technologies, and collaborating with teams to ensure data quality for AI/ML models.

The Senior Analyst, Marketing Analytics and Insights manages media budgets and ROI for digital marketing programs, optimizing spending across various platforms. Responsibilities include risk assessment, performance reporting, and collaboration within cross-functional teams to create media campaigns. The role involves ad-hoc analyses and strategic planning for marketing efforts.

The Technical Lead at Komodo Health is responsible for technical and leadership aspects, collaborating with various teams to understand and articulate technical requirements. Responsibilities include building relationships, providing technical design guidance, and making strategic decisions to address solution design needs.

The Senior Compensation Analyst will design and oversee compensation programs including salary structures and merit matrices. Responsibilities involve analyzing compensation trends, collaborating with HR, preparing SEC documents, and managing budget and compensation processes. The role requires a strong analytical background and experience in compensation compliance and strategy.

The Data Analyst will leverage Power BI and data analysis skills to provide actionable insights for HR and business decisions. Responsibilities include conducting ad-hoc analyses, generating predictive insights, developing reports and dashboards, and collaborating with various teams to enhance decision-making based on employee data and trends.

The Senior Data & AI Specialist at IOTA will lead data analysis, model development using machine learning, and product strategy development. Responsibilities include data visualization, cross-functional collaboration, and process optimization to enhance data management and insights.