Top Senior Analysis Reporting Jobs in Memphis, TN

The Senior Business Analyst will analyze healthcare data, manage requirements for data warehousing projects, and contribute to Business Intelligence initiatives. Responsibilities include data aggregation, understanding database structures, EDI claims, and conducting data quality checks.

The Senior Data Engineer will design, implement, and optimize scalable data solutions, working with data pipelines and collaborating with cross-functional teams in healthcare.

The role involves deploying ForgeRock's identity technology, analyzing access patterns, developing IAM strategies, and integrating with privileged access management services.

The GTM Operations, Strategy and Insights Lead will analyze data to generate insights for Sales, Marketing, and Customer Success, supporting strategic initiatives and performance metrics within Thinkific.

Design and manage curated fact and dimension datasets, semantic/subject-area models, and governance. Partner with BI and data engineering to enable self-service analytics, ensure data quality and documentation, and prepare datasets to support future ML and advanced analytics.

This role involves leading Reltio-based Master Data Management (MDM) implementations, defining architecture, establishing governance, and collaborating with teams to create solutions across multiple domains.

The Head of Software Sector will develop sector strategies, drive financial performance, lead teams, and enhance product offerings based on customer insights.

Lead analytics strategy for channel marketing, build attribution and incrementality frameworks, run experimentation and forecasting, surface optimization insights, and grow a high-performing analytics team to improve ROI and guide investment decisions.

The Senior Data Engineer will lead BI development, enhance Power BI architecture, mentor developers, and ensure efficient delivery governance for BI projects.

As a Senior Manager, Analytics, you'll lead a team of analysts to shape experiments, define metrics, and analyze data across initiatives, contributing to data culture and AI-driven innovation.