Top Remote Data & Analytics Jobs in Greensboro, NC

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Drives KPI reporting, dashboard and scorecard development, forecasting, trend analysis, data collection, and executive presentations. Partners with cross-functional teams and leadership to identify analytical needs, improve data quality and reporting processes, investigate metric fluctuations, and support operational decision-making. Builds standardized tools and templates, automates reporting, maintains data integrity, communicates findings, and develops work plans to meet deadlines.

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

Collects, cleans, validates, analyzes, and interprets data to support business decisions. Develops reports, dashboards, presentations, and performance measurements; identifies trends; and translates complex information into actionable recommendations. Collaborates with technical and non-technical stakeholders, communicates findings clearly, maintains data accuracy, and supports multiple analytics projects and deadlines.

Build and own production data infrastructure for a healthcare AI platform. Responsibilities include REST API ingestion, Azure Event Hubs streaming into Databricks, Delta Lake medallion pipelines, entity resolution, semantic metrics, data-quality instrumentation, reconciliation, schema-drift handling, and troubleshooting source-to-warehouse discrepancies. The role requires strong Python and SQL skills, independent pipeline ownership, and experience with Databricks, Spark, PySpark, streaming, and healthcare-related data is a plus.

Own the Databricks enterprise data warehouse and BI solution, designing data models, ETL/ELT pipelines, stored procedures, semantic layers, and governed analytics. Lead healthcare data initiatives supporting value-based care metrics such as HCC, HEDIS, Stars, utilization, MLR, and capitation. Serve as BI product owner, manage roadmap and agile delivery, enforce data quality and HIPAA-aligned controls, and lead a small team while remaining hands-on.

Leads quantitative and qualitative market research on international development, AI adoption, institutional demand, funding, procurement, competition, and commercial opportunities. Evaluates AI and data service applications, develops market assessments and strategic recommendations, manages research initiatives, prepares executive presentations, and collaborates with leadership, technical, operational, and business development teams to support market entry and growth.

Analyze mobile app activation, feature adoption, onboarding, engagement, retention, funnels, cohorts, and A/B tests. Build SQL and dbt models, dashboards, and self-service reports using BigQuery and GCP. Partner with product and engineering teams on instrumentation, identify data issues, automate reporting with AI tools, and communicate actionable insights to nontechnical stakeholders.

Build and guide data platform capabilities supporting marketing, finance, analytics, and data science. Develop data collection, integration, scoring, experimentation, analytics, and infrastructure solutions; contribute code, lead cross-functional technical initiatives, improve system resiliency through incident response, and establish engineering standards. Partner with business and technical stakeholders to define strategy and long-term roadmaps.