Top Data & Analytics Jobs in Greensboro, NC

Analyze policy filings, support ePublishing updates, assist with compliance audits, and collaborate with team members for consistent language implementation.

Provide analytic and consultative support to internal customers; translate requirements into decision-support applications; model data flows; develop complex programs and reports (SAS, R, SQL) using enterprise databases; propose and lead data-driven solutions; prepare findings and presentations for stakeholders; define data policies and security frameworks.

The Enterprise Architect will lead the data architecture function for Data Management, ensuring governance and best practices across data delivery while collaborating with stakeholders to achieve data-driven objectives.

The role involves designing and developing customizations for IBM Infosphere MDM, focusing on data management architecture and multi-domain solutions.

The Business Analyst will support integration projects, maintain data formats, provide documentation, and ensure compliance with industry standards while collaborating with clients and internal teams.

Lead architecture and delivery of Boulevard's data platform, building foundational data models, pipelines, and customer-facing analytics. Collaborate with Product and Engineering to create scalable data products, Snowflake data sharing solutions, performant visualizations, and machine learning features (recommendations, forecasting, anomaly detection) to drive data-driven decision-making and product value.

Lead day-to-day management of multi-year data projects (Neighborhood Vitality Index, Hope Starts Here). Conduct quantitative and qualitative analysis, design and analyze surveys, coordinate with external partners and internal teams, perform stakeholder outreach and engagement, and produce accessible data products and communications for non-technical audiences to inform decision-making across Detroit-area organizations.

Lead acquisition, cleaning, validation, storage and protection of datasets to support reporting and analysis. Design and execute data architectures, policies and ETL pipelines (SSIS, ADF) using cloud platforms (Azure Synapse, Snowflake, Databricks). Deliver dimensional models, visualizations, and lifecycle governance to make complex data accessible and drive business insights.

Analyze and forecast financial, economic, and market data to support strategic and operational decisions. Develop premium variance reports, set monthly revenue targets, perform A:E analyses, expand explanatory driver interfaces, ensure data integrity and controls, troubleshoot anomalies, and collaborate with actuarial and finance partners.

The Senior Data Engineer will design and build data models, manage data pipelines, improve data quality, and collaborate with teams to deliver reliable data solutions for the company.

The Analyst provides strategic research and analytics to optimize donor strategies for fundraising, ensuring data accuracy and creating comprehensive profiles of prospective donors.