Top Senior Data & Analytics Jobs in Greensboro, NC

Lead analytics projects using advanced and predictive modeling to optimize programs, forecast behavior, and drive revenue. Partner consultatively with business, IT, and SMEs across project lifecycle—intake through delivery—communicating results to stakeholders and senior leadership. Work independently on complex technical approaches and influence department strategy.

Lead a small data engineering team partnering with Engagement Marketing to build scalable ETL/ELT pipelines, ensure data quality, define marketing metrics, integrate trusted data with ad platforms, and drive the data roadmap to enable measurement and growth.

Lead measurement strategy for a book of clients, designing statistical models (MMM), experiments (MMT), and customer analyses. Use R, Python, SQL and ETL tools to extract insights, present advanced methodologies to stakeholders, provide strategic recommendations tied to business goals, mentor measurement analysts, drive process efficiencies, and leverage proprietary Nova tools and AI to optimize deliverables.

Manage model risk governance activities, produce complex reports, oversee risk metrics, assess model candidates, support audits, and lead projects.

Design, build, and operate data architecture and scalable pipelines to ingest, cleanse, transform, and store large structured and unstructured datasets. Develop automated data quality, validation, and feature engineering processes, collaborate with data scientists and business stakeholders, and implement Snowflake and Oracle-based solutions. Ensure security, compliance, performance, and reliable reporting/visualization of data insights.

Design, build, and maintain Tableau dashboards and interactive reports; translate stakeholder questions into visual analytics; model and prepare data (SQL); validate and troubleshoot reporting; recommend visualization improvements; partner across teams to advance embedded analytics.

Lead design, development, testing, deployment, and support of BI dashboards and data models (Qlik, Power BI, Excel). Build and optimize data visualizations, write complex SQL, collaborate with ETL teams, manage Qlik platform administration, provide L2 developer support, and lead cross-functional analytics and performance management initiatives to improve business operations.

Design, develop, and maintain Microsoft Power Platform applications and dashboards (Power Apps, Power Automate, SharePoint, Dataverse, Power BI). Translate stakeholder requirements into technical solutions, create data visualizations and recurring reports, perform trend analysis, troubleshoot integrated solutions, and support system design, configuration, and continuous improvement to improve operational performance and remediation tracking.

Lead and execute quality control and data validation for operational dashboards and reporting. Develop QC procedures, track corrective actions, perform root cause analysis, validate dashboard accuracy, document findings, and coordinate with technical teams to resolve data discrepancies and improve processes.

Lead design and implementation of scalable data models and analytical tooling for Consumer Product. Partner cross-functionally to translate business needs into reliable SQL/Python data products, dashboards, and automated pipelines using engineering best practices (CI/CD, testing, version control, monitoring). Drive data-informed strategy and manage long-term infrastructure while supporting ad hoc requests.

Lead a team delivering actuarial statistical reporting, regulatory submissions, and analytics. Ensure compliance with bureau requirements, drive automated reporting and UAT for policy/claims systems (Guidewire, Solartis), partner with actuarial, technology, and vendors, and manage stakeholder/regulator interactions while mentoring staff and improving data governance and reporting processes.

Lead a team delivering actuarial, regulatory, and operational statistical reports and analytics. Ensure compliance with bureau submissions, drive reporting automation, define data requirements, lead UAT for policy/claims systems, and manage vendor and regulator interactions to support pricing, reserving, underwriting, claims, and financial analytics.