Top Data & Analytics Jobs in Greensboro, NC

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.

Manage and maintain fundraising database integrity, produce and format reports and dashboards, support data imports/exports and integrations (Salesforce Marketing Cloud, Omatic Cloud), audit gifts and pledges, train users, and collaborate with stakeholders to ensure compliant, accurate reporting for fundraising operations.

Owns the Data & Analytics product backlog, translates roadmap into epics/features/user stories, conducts discovery, coordinates cross-functional stakeholders, supports prioritization, and ensures delivery, quality, and regulatory alignment from discovery through launch.

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

Serve as the voice of the consumer by designing and managing quantitative and qualitative research (DIY surveys, tracking, syndicated sources), synthesizing findings, and presenting actionable insights to influence product, marketing, and merchandising decisions.

The Senior Data Analyst will develop and improve Sigma dashboards, reporting, and business intelligence capabilities. Responsibilities include gathering stakeholder requirements, querying and analyzing complex datasets with SQL, improving data quality and governance, defining metrics, automating reporting processes, and partnering on Snowflake data modeling and warehouse improvements. The role also evaluates analytics tools, delivers actionable insights, and communicates findings to technical and non-technical audiences.

Monitors, validates, and improves data quality across device, program, operational, and field sources. Designs automated checks, reconciles discrepancies, investigates root causes, documents findings, and communicates impacts and recommendations. Collaborates with analytics, engineering, MEAL, and country teams to resolve issues. Maintains reproducible analyses using SQL, programming, version control, and notebooks while supporting data governance, reporting standards, and responsible handling of sensitive information.

Build and operate Imagine Worldwide’s AWS- and ClickHouse-based analytics platform, including infrastructure, data lakes, Spark processing, ingestion pipelines, Airflow orchestration, dbt models, CI/CD, monitoring, security, backups, and cost optimization. Process billions of device events and integrate program context into reliable analytical datasets. The role also involves incident response, documentation, architectural contributions, and collaboration with globally distributed analytics and operations teams.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Build and operate data pipelines ingesting and normalizing security data from multiple sources. Own entity resolution, asset attribution, data quality monitoring, automated correlation logic, and reporting support. Collaborate with security analysts and leadership to turn noisy data into actionable insights and improve remediation outcomes. Contribute to AI-augmented data analysis and correlation capabilities.

Designs scalable data architectures, pipelines, schemas, and cloud-based storage solutions for high-volume structured and unstructured data. Ensures data quality, security, compliance, performance, and cost efficiency while applying AI and machine learning techniques. Builds enterprise AI agent orchestration systems using LangGraph and LangChain, partners with data scientists and stakeholders, develops reporting tools, and leads end-to-end technical projects.