Top Senior Data & Analytics Jobs in Greensboro, NC

Deliver advanced SQL analyses, build and maintain dashboards and recurring reports, define KPIs, translate findings into executive-ready recommendations, partner cross-functionally, and support automation and reporting improvements.

Design, develop, and maintain enterprise data integration (ETL) systems and data platforms. Lead technical designs, optimize performance and scalability, support production issues and off-hours rotations, build reporting and BI solutions, document data processes, and collaborate with stakeholders and vendors to align business requirements.

Design, develop, and optimize ETL/data integration, data platforms, and BI solutions. Lead technical designs, troubleshoot production issues, participate in on-call support, and document processes to ensure scalable, secure, high-performance enterprise data solutions.

The Senior Statistical Programmer will program and validate datasets for clinical trials, oversee deliverables, manage projects, and ensure compliance with industry standards. Requires strong skills in SAS and R for statistical programming.

Build and maintain scalable batch and streaming data pipelines on GCP, develop API-driven integrations, design data models, ensure data quality and performance, and deliver end-to-end solutions in a client-facing healthcare data environment.

Partner with Product, Design, Engineering, and Data to define KPIs and measurement for AI-powered features, guide instrumentation, design and evaluate experiments, build dbt models, create dashboards, and influence product analytics standards and long-term strategy.

Design, build, and maintain Scala-based ETL and streaming data pipelines, APIs, and data microservices in Azure. Optimize LLM fine-tuning and RAG workflows, support DevOps/CI-CD practices, document standards, mentor engineers, and manage data ingestion frameworks for analytics and partner integrations.

Design and implement scalable cloud data platforms and end-to-end ETL/ELT pipelines, migrate legacy infrastructure to Snowflake/AWS, optimize data warehouses, build transformations with dbt and Dagster orchestration, develop data processing with Python and SQL, implement IaC and CI/CD, and ensure data observability and governance while collaborating with stakeholders.

Own and build scalable analytics models, metric definitions, and dashboards (customer-facing and internal). Partner with engineering to design data flows and instrumentation (BigQuery, S3, PostHog). Translate stakeholder needs into analytics plans, triage requests, and surface insights via Looker/Observable. Set analytics stack direction and ensure data quality.

Lead design, implementation, and optimization of cloud-native data platforms (Snowflake, AWS, Azure) for managed-services clients. Translate business requirements into secure, scalable architectures, drive migrations and performance tuning, and provide hands-on technical leadership. Collaborate with cross-functional teams, mentor junior engineers, and contribute to best-practice frameworks, automation, and pre-sales efforts.