Top Analytics Jobs in Greensboro, NC

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

Design and implement data solutions using Databricks and Python, develop data models and pipelines, and support Audit Analytics for a Federal customer.

The Manager of Operational Analytics leads a team to improve partner relationships through analytics, overseeing reporting, performance dashboards, and implementing AI tools for enhanced insights.

Lead analytics for Nutrafol.com and the Nutrafol App, driving insights for roadmap prioritization, conversion optimization, and overseeing CRO analytics. Manage a Senior Associate Analyst and collaborate on digital experiences that enhance growth.

The Predictive Analytics Engineer will manage Python and R tools, develop cloud operations, and automate analytics services using AI and ML while ensuring compliance and security.

This role manages the BI platform's day-to-day operations, develops analytics solutions, enhances capabilities, and partners with teams to fulfill reporting needs. Responsibilities include monitoring system performance, data governance, and ensuring data quality while delivering actionable insights to support business growth.

The Data Analytics Engineer will develop data infrastructure and collaborate with data scientists to create business solutions, support predictive modeling, and mentor team members.

The Senior Manager, Risk Analytics & Decision Science will shape credit strategies, improve decisioning frameworks, and optimize model performance to enhance approval, pricing, and portfolio outcomes.

Lead the transformation of People Analytics dashboard portfolio into a cohesive experience while defining BI platform strategy, improving usability, and developing scalable data products.

The Advanced Analytics Manager will lead analytics initiatives, transforming complex datasets into insights, collaborating across departments to inform GTM strategy and revenue planning.

The Analytics Engineer will oversee the analytics foundation for advertiser reporting, ensure metric consistency across campaigns, and work with various teams to manage metrics and data models for the expanding ad platform.

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.

The Staff Advanced Analyst will drive data analytics to improve CS Safety experiences, influence product decisions, and build measurement tools using data-driven insights.

The Director of Data & Analytics will lead the internal analytics function, developing data models, analytical frameworks, and savings methodologies to support value-based care and market expansion at RightMove.

The intern will develop data structures, automate pipelines, perform analysis, and maintain documentation for the Sales Operations team at Voltus.

The AVP, Research Science and Advanced Analytics leads teams in delivering analytics and research results, optimizing client outcomes through advanced statistical tools and methodologies in healthcare.

The Manager, Analytics Solutions & Experience will design and enable analytics solutions, enhance client experiences, and support analytics adoption within the Unify platform while collaborating with cross-functional teams.

Manage underwriting analytics, collaborate with cross-functional teams, drive operational improvements, and enhance training for underwriters.

The Senior Analytics Engineer will architect a unified data model, develop scalable dbt models, enhance data governance, and enable advanced analytics for strategic decisions.

The role involves managing a client portfolio of Chief Data Officers, delivering insights on data strategy and analytics, mentoring clients, and fostering collaboration with internal teams to ensure client satisfaction and retention.

Lead the architecture and development of data ecosystems and analytics capabilities, optimizing data products for customer insights and decision-making.

Manage analytics projects, ensuring client satisfaction while leveraging real-world data. Collaborate with cross-functional teams to translate business questions into data analysis, and lead process improvements within the team.

The Senior Analyst in People Analytics will design and manage dashboards, analyze HR datasets, and leverage AI tools for data-driven insights, while collaborating with various teams to enhance people strategies.

Manage end-to-end analytics projects, lead cross-functional teams, ensure client satisfaction, and utilize AI tools to enhance data insights.

This role involves owning product analytics from end-to-end, including event taxonomy, instrumentation, dashboard design, and proactive insight delivery for the product team at XBOW. You'll improve frontend and server-side tracking, ensure data quality, and enable self-service analysis for stakeholders while working across the full stack. The focus is on actionable insights rather than vanity metrics.