Top Analysis Reporting Jobs in Little Rock, AR

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

The role involves leading data architecture initiatives, developing AI models, and collaborating with data scientists to optimize data solutions and drive strategic decision-making.

The PTPA Tax Technology Manager leads tax technology initiatives, mentoring team members, enhancing data transparency, and overseeing product lifecycle management to improve stakeholder experiences.

As a Data Analyst at Circle, you'll analyze payments data, create visualizations, develop dashboards, and support decision-making with insights. You'll partner with business teams to identify opportunities for enhancement and communicate findings effectively to stakeholders.

The Senior Data Analyst manages data workflows, resolves data quality issues, and optimizes ETL processes for Arkansas Medicaid's data warehouse while leading a team of data engineers.

The Data Analyst will build performance reporting tools, automate data processes, conduct ad-hoc analyses, and provide insights for company initiatives.

As a Senior Analytics Engineer, you will design data models and pipelines, ensuring data integrity for reporting and analysis. Collaborate with cross-functional teams to enhance data architecture and support analytics goals using modern tools and practices.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

The role involves consulting on data-driven healthcare solutions, collaborating with teams, designing demos, and developing business strategies targeted at C-level executives in healthcare.

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.