Top Senior Data & Analytics Jobs in Wilmington, NC

Design, develop, and maintain Snowflake-backed semantic models and Power BI reports; build SQL queries, functions, and stored procedures; use AI-assisted tooling (Claude, MCP) to accelerate BI development; manage work in Azure DevOps, version control with GitHub; ensure QA, documentation, stakeholder communication, and mentor fellow developers.

Design, develop, and optimize ETL workflows, data platforms, and reporting solutions. Lead technical designs, troubleshoot production issues (including off-hours support), collaborate with stakeholders and vendors, document processes, and drive automation and BI/dashboard implementations to ensure scalability, performance, and reliability.

Lead development and implementation of advanced reporting, predictive models, segmentation, donor lifetime value and multi-year forecasting. Apply AI/ML, NLP, and automation to optimize fundraising, design experiments, maintain data systems, and advise leadership while coordinating cross-team analytics and training.

The Senior Business Systems Analyst collaborates with stakeholders to translate business requirements into technical specifications, manages requirements throughout the project lifecycle, and ensures alignment with organizational goals while enhancing efficiency in processes.

Lead reporting and analysis across product, call center, and marketing; manage enrollment and revenue reconciliation; produce partner and carrier reports; analyze member engagement and plan performance to surface actionable insights.

Design, build, and maintain end-to-end batch and streaming data pipelines on GCP. Migrate legacy warehouses to BigQuery/Bigtable/ClickHouse, orchestrate workflows in Airflow, ensure data quality and observability, and partner with ML engineers on feature pipelines, drift monitoring, and retraining.

Lead complex analytical initiatives, build executive dashboards and KPI frameworks, perform advanced SQL analysis, forecasting and root-cause analysis, partner with senior stakeholders, improve data governance and BI solutions, and mentor junior analysts to drive operational performance and cost/resource optimization.

Design and build petabyte-scale multimodal data pipelines and infrastructure (text, audio, images, video). Own and maintain systems like Spark, Ray, and vector databases, partner with pre/post-training teams to improve data recipes through experimentation, and support large-scale dataset storage and processing for AI model training.

Lead infrastructure analytics for compute, storage, and networking: design scalable data pipelines, define core metrics, build dashboards and APIs, ensure data quality and governance, drive instrumentation fixes, and advise executives on capacity, utilization, and readiness.

Lead development of SMB customer insights and targeting cohorts, analyze large multi-source datasets, build analytical models, deliver quick-turn actionable reports, advise leadership on GTM strategy, and drive CloudAscent adoption across sales and partner teams.

Design, build, and maintain ETL pipelines and data warehousing for RCM-focused analytics. Perform gap analysis for new business onboarding, optimize ETL performance, monitor production jobs, partner with development on database and analytics projects, and author technical documentation while supporting deployments and change control.

Design, develop, maintain, and optimize ADABAS database structures and data solutions. Support mainframe data processing (Natural, COBOL, JCL), perform migrations to modern platforms, tune performance, ensure data integrity/security, troubleshoot issues, and collaborate with developers, architects, and analysts on modernization, API/cloud integration, and data warehousing initiatives.