Top Remote Senior Level Analytics Jobs in Dallas, TX

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 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.

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 Senior Quality Assurance Analyst will support automated and manual software testing for the DoD Navy MCC project. Responsibilities include writing test cases, maintaining test artifacts, executing various testing types, and collaborating with developers to manage defects and test scripts. The role emphasizes participation in sprint preparation and backlog grooming.

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.

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.