Top Remote Analysis Reporting Jobs in Oklahoma City, OK

The Actuary will analyze ratemaking and customer data, lead regulatory filings, build models with GLM and machine learning, automate workflows with Python, and collaborate cross-functionally on product development in a remote environment.

The Director of Data & AI Alliances will develop strategic partnerships, drive joint go-to-market strategies, manage partner relationships, and lead initiatives that enhance revenue growth and partner engagement in data and AI ecosystems.

The Principal Marketing Analyst will enhance marketing strategies through data analysis, develop dashboards, manage data tables, and use AI for insights.

The Technical Data Manager will support NPI across product lines, manage data entry, and create Engineering Change Orders during product lifecycle.

The Senior Data Engineer will design and maintain data pipelines, build scalable data infrastructure, and ensure the availability of high-quality data for analytics and operations at TopDog Law.

Remote Operations Manager responsible for overseeing daily operations of a plumbing and heating service division. Optimize workflows between dispatch, field technicians, customer service, and project teams; implement KPIs, manage budgets and vendors, lead performance meetings, and drive continuous improvement to scale operations and improve customer satisfaction.

The SEO Innovation Specialist will manage SEO strategies, conduct audits, optimize content, and leverage AI tools for performance analysis.

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

As a Memory Developer, you'll record household tasks, shape the robot's memory, and help train its AI for better performance.

The Senior Data Engineer leads evaluations of enterprise data integrity, focuses on modernization risks, strengthens data management practices, and ensures operational continuity throughout the data lifecycle.