Top Analysis Reporting Jobs in Oklahoma City, OK

The Workforce Management Analyst supports staffing and scheduling decisions, optimizing workforce performance through data analysis and collaboration across teams.

The Data Analyst partners with ministry and operational leaders to provide analytical insights and create tools for decision-making at various organizational levels.

The Business Analyst will gather and document requirements, analyze data, design interfaces, and perform testing for systems related to Contracts, Procurement, and Supply Chain.

As a Decision Science Analyst, you will analyze customer data to provide insights for loyalty programs, collaborate with teams, and create data visualizations that drive marketing strategies.

The Data Analyst will support data analysis tasks, apply statistical and machine learning techniques, and create visualizations to enhance data insights. Responsibilities include cleaning and transforming data, delivering actionable recommendations, and collaborating with on-site teams.

The CX Research & Modeling Analyst is responsible for developing and optimizing text analytics models using NLP and ML, to enhance customer experience insights. This role collaborates with CX teams and stakeholders to ensure accurate and actionable customer feedback across multiple business units.

Perform hands-on data cleansing, linking, validation, and standardization; monitor and report data quality metrics; identify recurring issues and recommend process or automation improvements; organize and streamline workflows; maintain documentation and data standards; test and provide feedback on tools and AI-assisted features; serve as a point of contact for data integrity questions.

Support health initiatives by assisting with grant administration, compliance documentation, and data management for program reporting.

The Senior Analyst, People Analytics analyzes workforce data, translates business questions into KPIs, and collaborates with various teams to deliver insights and reporting solutions.

Lead design and positioning of modern data and analytics solutions, translate business objectives into technical architectures, guide pre-sales and delivery, mentor engineers, and identify client expansion opportunities.