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Top Remote Analytics Jobs in Washington DC,
The Configuration Analyst II or III will serve as a technical lead for TPA clients, overseeing system configuration, implementation, and ongoing support. Responsibilities include translating business needs into system requirements, performing data reporting using SQL, and facilitating communication between clients and internal teams. A strong analytical background and project management experience are preferred.
As a Lead GRC Analyst at TherapyNotes, you will implement GRC strategies, manage risks, conduct audits, and mentor a team of analysts while ensuring compliance with regulatory standards. You will collaborate with various teams to enhance the organization's cybersecurity posture and oversee internal audit programs.
As a Senior/Staff Data Scientist, you will process large datasets into strategic insights, design machine learning models, and perform statistical analyses for product and leadership teams. Responsibilities include evaluating ML opportunities, mentoring mid-level data scientists, and collaborating with product and engineering teams. You will also communicate technical findings to various stakeholders and contribute to the development of the company's data science capabilities.
The Data Analyst will manage program data collection, ensuring quality assurance, and conduct statistical analyses. Responsibilities include creating reports for stakeholders, enhancing data processes, and supporting the Director of Operations with insights related to KPIs. The role requires attention to detail and effective communication to present findings clearly.
As an Operations Analyst Manager at Fetch, you will solve complex challenges in the scan-and-match space, manage a team of analysts, and collaborate with software development teams to develop scalable solutions. Success requires strong SQL skills, problem-solving abilities, and effective communication.
The Sr Data Analyst will analyze large-scale data sets to identify trends, metrics, and optimization opportunities. Responsibilities include data mapping, gathering requirements, resolving data quality issues, and providing analytical support across departments. The role also involves developing dashboards and reports, ensuring data accuracy, and collaborating with stakeholders and teams.
The Quality Data Manager will lead the implementation and maintenance of the Product Specification System at Black Rifle Coffee Company. Responsibilities include ensuring data quality, compliance with North American labeling regulations, managing vendor engagements, and driving continuous improvement in data management processes.
The Senior Product Data Analyst will analyze complex datasets using SQL and Python to provide insights for product development. Responsibilities include designing data visualizations, performing A/B tests, collaborating with stakeholders, and enhancing data collection methods. The role requires strong technical skills and the ability to communicate findings to both technical and non-technical audiences.
The Implementation Analyst will analyze client data, manage client implementations, provide technical assistance, and ensure a seamless onboarding experience for customers. They will leverage data insights to design effective software configurations and maintain relationships with stakeholders during the implementation process.
As a Senior NLP Data Science Researcher, you will leverage advanced Generative AI and NLP methods for healthcare projects. Your responsibilities include optimizing NLP/LLM models, developing Python-based inference pipelines, and performing data analysis. Strong technical and communication skills are essential as you interact with clients and lead scientific publications.
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