Top Senior Level Data & Analytics Jobs in Washington DC,

The Senior Workday Analyst will optimize HR technology solutions, specifically in Workday, by acting as a subject matter expert. Responsibilities include configurations, reports development, data integration, and supporting HR technology projects, while ensuring operational excellence and enhancing the employee experience.

As a Staff Data Scientist, you will analyze data discrepancies, support investigation of data anomalies, size opportunities for metric improvements, implement data quality controls, and lead strategic initiatives to enhance data integrity. You will collaborate with engineers and communicate best practices to ensure data reliability across teams.

As a Senior Product Analyst, you will develop and deliver key analyses on product features, design and analyze experiments, and create dashboards to communicate insights. You will collaborate with product, engineering, and operations teams to identify data-driven solutions to business problems.

Engage with senior leadership to provide analytics and insights on business performance, competitive analysis, and metric trends. Conduct exploratory data analysis to uncover insights that drive strategic decisions. Prepare and present reports and dashboards for senior-level audience. Develop and maintain operational models and data pipelines. Implement automated reporting solutions to streamline data analysis and presentation. Manage data and analysis requests from Investor Relations, Finance leadership, and executives.

In the role of Data Engineer at Hiveon, you will develop and support enterprise-level statistics services, design data storage solutions, optimize queries, and create impactful reports for high-load HPC business management. You will collaborate with development teams and perform database performance monitoring and improvement tasks.

The Power BI Data Integration Specialist will design and develop Power BI solutions, integrate real-time data pipelines, and create optimized data models. Responsibilities include advanced query development, deployment and administration of Power BI services, collaboration with stakeholders, performance tuning, and documentation of technical processes. The role requires strong expertise in real-time data processing and data visualization.

The Sr. Research Scientist will analyze and improve Yahoo's back-end systems by developing advanced stochastic streaming algorithms. Responsibilities include translating scientific algorithms into prototype code, collaborating with product teams to enhance data analysis, publishing research findings, and ensuring data quality in assigned areas.