Top Analysis Reporting Jobs in Greensboro, NC

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

As a Senior Analyst, you'll gather and analyze requirements, implement process improvements, manage financial reporting in Workday, and mentor junior analysts.

Lead analytics for marketing and customer acquisition: build dashboards, design and evaluate A/B tests, monitor conversion funnels, develop multi-touch attribution reporting, migrate reports to new systems, combine structured and unstructured data, and partner across Marketing, Sales, Finance, Operations, Credit, and Technology to turn insights into automated actions.

The Senior Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

The Senior Performance Strategist manages key client relationships, optimizes performance, drives projects, supports troubleshooting, and mentors junior members to enhance campaign strategies and processes.

The Product & Market Intelligence Analyst conducts product analysis, ensures demo environments are maintained, collaborates cross-functionally, and provides actionable market insights to influence strategies for product, sales, and marketing teams.

The Senior Data Engineer will architect, build, and maintain scalable data pipelines and infrastructure, mentor junior engineers, and collaborate on data solutions for Openly's insurance platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.