Top Analysis Reporting Jobs in Oklahoma City, OK

The Intern will support the CRM Strategy & Solutions team in maintaining Salesforce data integrity, conducting audits, standardizing records, building reports, and improving CRM processes to enhance operations and data governance.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

The Director of People Analytics and Reporting will lead data-driven HR initiatives, manage analytics teams, and develop reporting frameworks. Key responsibilities include improving data strategy, team management, stakeholder collaboration, and implementing modern analytics tools.

As a Manager specializing in Enterprise Performance Management, you will innovate, drive financial excellence, cultivate relationships, create dashboards, and lead initiatives for operational efficiency.

The role involves converting business requirements into technical specifications, leading requirements gathering, data modeling, and analytics code development. Collaboration with stakeholders and managing SDLC processes is key, along with defect investigation and documentation management.

The Enterprise Data Architect will design and lead AmeriLife's data architecture, creating scalable data models and data mapping standards for analytics and AI workloads.

The Lead Python Developer will design and develop Python-based analytics solutions, create reporting tools, collaborate with stakeholders, and mentor peers in a healthcare analytics environment.

The Sr. Insurance Analyst analyzes complex data to support growth and profitability targets, evaluates market opportunities, and collaborates cross-functionally on insurance products.

As a Data Analytics Summer Intern, you'll gain hands-on experience with Microsoft Power Platform, supporting dashboard design and data analysis while collaborating with stakeholders.

The Decision Support Analyst collaborates with customers and teams to prioritize data requirements, perform complex data analysis, and implement decision support systems for effective business choices.