Top Data & Analytics Jobs in Greensboro, NC

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.

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics 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.

Generates, validates, analyzes, and distributes operational reports across logistics, lockbox operations, and print and insert teams. Maintains dashboards, templates, and data repositories; audits and reconciles data from multiple sources; investigates discrepancies; analyzes trends and KPIs; documents workflows; presents insights; and supports process improvement, planning, and forecasting.

Develops and implements digital tools, databases, applications, automation, and reporting solutions for Product Safety operations. The role manages scientific data quality and traceability, translates stakeholder needs into technical solutions, leads improvement initiatives from concept through adoption, and provides data and digital expertise through training, documentation, and collaboration.

Leads decision support and data analysis projects, translating business requirements into reporting applications and analytical solutions. Develops complex programs using SAS, R, SQL, and database technologies; models data sources and flows; creates analytical methods and performance measures; interprets statistical results; and presents recommendations to stakeholders. Mentors colleagues, supports data governance and security frameworks, and consults with internal and external business partners.

Perform complex data analysis and modeling to minimize loss exposure and customer impact. Develop and maintain reports and dashboards, evaluate fraud/risk, recommend policy and segmentation changes, and provide analytical support using tools like SQL, Python, Tableau and Alteryx. Collaborate with product teams, conduct UAT, and produce insights for senior management to improve portfolio performance and operational outcomes.

Develop and deploy containerized data applications and pipelines, including Kubernetes deployments, monitoring, optimization, and AI-powered features using LLMs. Collaborate with data scientists on data architectures and tools, troubleshoot pipeline issues, and build Streamlit prototypes. The role also requires staying current with AI, data engineering, and cloud computing practices.

Designs and maintains Power BI dashboards and reports for sales decision-making. Extracts, integrates, cleans, and analyzes data from multiple market and category management sources. Conducts line reviews and category performance analyses, identifies trends and growth opportunities, and delivers data-driven recommendations. Develops customized dashboards, reporting materials, and PDF documentation to support sales teams, product evaluations, and customer presentations.