Top Data & Analytics Jobs in Greensboro, NC

Leads data modernization initiatives for healthcare payer clients, designing pipelines, integrations, transformations, architectures, and warehouse solutions. Manages complex delivery using Airflow, Azure Data Factory, Databricks, and Snowflake; improves data quality, governance, security, and performance. Advises clients on data strategy and modernization roadmaps while coaching technical teams and aligning solutions with business, reporting, compliance, and security requirements.

Leads global contact center capacity planning, forecasting, headcount, and hiring strategies. Builds predictive staffing models using Python, analyzes contact flows and staffing accuracy, and develops reports with MicroStrategy, Alteryx, and Power BI. Communicates data-driven recommendations to executives, partner managers, vendors, and operations teams while managing planning initiatives and optimizing service levels, customer experience, and costs.

Lead firmwide data governance and lineage initiatives, including framework adoption, metadata management, data quality controls, critical data element tracing, and governance reporting. Partner with CDO offices, technology, controls, product, compliance, legal, and data owners to resolve complex lineage issues, establish best practices, facilitate working groups, and drive consistent governance across business lines and corporate functions.

Designs, develops, and maintains GCP-based security data pipelines and data products. Builds data quality and auditing frameworks, integrates security tools through APIs, optimizes BigQuery schemas and costs, and deploys automated ETL/ELT workflows using Python, SQL, and GCP services. Partners with security teams to deliver reporting views and dashboards. Cribl Stream experience is preferred for processing, enriching, routing, and reducing security telemetry and logs.

Design, build, and operate scalable batch and streaming data pipelines, lakehouse and warehouse models, and data services. Own datasets end to end, improve Snowflake, Iceberg, Spark, and Flink performance and reliability, implement governance and observability, and support graph-serving data models. Partner with product and engineering teams, participate in on-call, review code and designs, and mentor junior engineers.

The Reports Analyst prepares ad hoc and scheduled reports, responds to data requests, analyzes trends, and provides recommendations to business management. Responsibilities include researching and downloading data, creating presentations and exhibits, manipulating spreadsheet and database data, maintaining databases, and ensuring data integrity and accurate reporting. The role requires advanced Excel skills, reporting and data analysis experience, strong communication, and effective use of AI tools.

Analyzes operational and vehicle inspection data, builds and maintains reports, dashboards, queries, metrics, and data processes, and delivers insights to Operations and leadership. The role cleans and transforms large datasets, validates data quality, supports data science and engineering teams, develops monitoring systems, and presents trends and recommendations for business decisions. It also partners with product, dispatch, quality assurance, and technology teams on operational data and reporting needs.

Owns fraud performance analytics for depository products, including monitoring losses, approval rates, false positives, customer friction, and risk metrics. Builds data models, transformation pipelines, dashboards, scorecards, and monitoring frameworks. Conducts fraud deep dives and develops optimized rules, policies, thresholds, models, and decision strategies. Partners with Product, Engineering, Machine Learning, Data Engineering, Fraud Operations, and Risk teams to improve fraud detection and support product launches.

Lead design and implementation of scalable Databricks Lakehouse solutions using Delta Lake, Unity Catalog, and MLflow. Advise stakeholders, drive cloud data platform modernization across Azure/AWS/GCP, ensure data governance and quality, optimize performance and cost, and mentor teams. Support presales, deliver billable consulting, and champion AI/ML-enabled data solutions to translate platform capabilities into business outcomes.

Analyzes and documents ERP business and technical requirements, develops Workday financial and operational reports and dashboards, improves processes, validates data accuracy, supports system implementations and upgrades, and partners with finance, IT, product owners, and vendors on Workday solutions and lifecycle management.