Top Analytics Jobs in Houston, TX

The Benefit Analyst role involves managing benefit-related inquiries, collaborating with brokers and administrators, conducting quality assurance for benefit builds, maintaining dashboards, and building EDI files. The role requires strong communication and problem-solving skills and technical knowledge to troubleshoot and resolve issues with carriers.

The Project Analyst will support key PMO operations including project plan updates, status report creation, and data management. They will track budgets, analyze data outputs, prepare reports, and assist in project forecasting and financial tracking.

As a Senior Analyst, you will work closely with a client in California, responsible for analyzing and documenting their spending and supporting contract decisions. You will utilize complex analytical models to maximize savings and identify improvement opportunities while standardizing processes with stakeholders.

The Documentation & Process Analyst will create technical documentation, gather business requirements, develop user stories, and ensure quality adherence within projects. This role involves collaboration with clients and team members to facilitate effective documentation and support organizational change management, aiding clients in maximizing their application use.

The Controls Analyst at Coinbase will be responsible for creating and maintaining process, risk, and controls documentation for SOX compliance, coordinating evidence requests for audits, and collaborating with various stakeholders across the company. They will perform gap analysis to prepare for SOX audits and implement an effective control framework.

Conduct in-depth investigations and analysis related to financial crimes as part of Coinbase’s BSA/AML program, reviewing high-risk cases, evaluating alerting activity, and maintaining compliance with regulatory requirements.

The Continuous Improvement Analyst evaluates and improves business practices aimed at enhancing safety, quality, efficiency, and cost reduction. Responsibilities include identifying process improvement opportunities, facilitating value stream mapping, conducting root cause analysis, and developing performance metrics for departmental effectiveness.

As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.