Top Analytics Jobs in Washington DC,
NewRocket is seeking passionate individuals to join their diverse team and contribute to the ServiceNow ecosystem. The role focuses on collaboration, innovation, and creating meaningful experiences for both employees and clients.
The Sr. Analyst will conduct complex data analyses to support large hospital systems, focusing on financial aspects such as pricing and rebates. Responsibilities include analyzing provider data, identifying savings opportunities, communicating findings, and creating analytical reports.
As the Manager of Data Exchange Support, you'll lead efforts to enhance data exchange operations with a 24/7 support model. Responsibilities include managing KPIs, improving observability through automation, handling root cause analyses, collaborating with cross-functional teams, and ensuring excellent customer service. You'll also manage a team of specialists and oversee disaster recovery planning.
As a Staff HR Analyst, you will analyze and visualize HR data to align with strategic goals, support talent strategies, improve processes, and provide insights to HR leaders and stakeholders. Responsibilities include data collection, reporting, HR systems optimization, workforce planning, and supporting continuous improvement initiatives within the HR team.
This position involves supporting students in data analytics boot camps through various roles such as Teaching Assistants, Tutors, Learning Assistants, and Graders. Responsibilities include facilitating lessons, providing one-on-one support, engaging with students on structured schedules, and offering detailed feedback on assignments.
The Security Data Architect will discover, design, and implement techniques to consume and analyze data from multiple sources to enhance Halcyon's anti-ransomware solution. Responsibilities include data cleaning, correlation, modeling, reporting, and suggesting improvements for data collection and storage effectiveness.
As an AI Research Scientist at Phaidra, you will develop novel algorithmic architectures for intelligent control systems, collaborate with other researchers, and apply advancements in machine learning, reinforcement learning, and optimization to real-world industrial problems.
The Data Science Manager will lead a high-performance team of data scientists to influence growth and user retention through actionable insights. Responsibilities include mentoring team members, driving data-driven decision-making, and collaborating with engineering and product teams to enhance user experience. The role also involves communicating complex findings to diverse stakeholders and fostering an inclusive team culture.
The Customer Operations Analyst will lead the development of KPIs for tracking customer success and team performance. They will initiate and design executive business reports, improve internal processes, collaborate with various departments, and support leadership with projects. Key responsibilities include enhancing data capturing in Salesforce and analyzing retention metrics.
Looking for a Sr. Data Scientist to design, build, and train algorithms and models for large enterprise customers. Responsibilities include collaborating with stakeholders, data manipulation, authoring reports, engaging with development teams, and driving thought leadership. Qualifications require an advanced degree or exceptional ability in a relevant field, 3-5+ years of hands-on experience, knowledge in mathematics and machine learning, and strong computer science fundamentals.
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