Top Remote Data & Analytics Jobs in Greensboro, NC

Lead development and ownership of end-to-end data pipelines and platform tools. Build and optimize ingestion, transform data with dbt and Jinja, implement monitoring/alerting, manage deployments and CI/CD, and create self-service analytics applications and internal tooling.

Support national community lending initiatives by developing ROI dashboards, analyzing event and CRM data, coordinating events and partners, enabling sales teams, managing budgets/contracts, and producing program performance insights to scale community outreach and homeownership programs.

Lead acquisition, cleaning, validation, storage and protection of datasets to support reporting and analysis. Design and execute data architectures, policies and ETL pipelines (SSIS, ADF) using cloud platforms (Azure Synapse, Snowflake, Databricks). Deliver dimensional models, visualizations, and lifecycle governance to make complex data accessible and drive business insights.

Lead BI work for Encounter Submissions, analyze and visualize Medicare submission metrics, track HCC identification and closure, provide executive insights, advise cross-functional teams, and manage a team of five data analysts to deliver actionable analytics and reporting.

Lead financial analytics for risk adjustment by integrating and modeling multiple healthcare data sources to identify variances and trends, deliver insights to leadership, and support strategic planning. Works independently on complex financial and actuarial analyses.

Partner with marketing to build accurate reports, dashboards, and forecasts from multiple data sources, ensure data integrity, deliver actionable insights, and enable analytics self-service for marketing.

Partner with business teams to define analytics needs, perform data exploration, modeling, and statistical analysis, build forecasts and dashboards, and present actionable insights. Support data stewardship, metadata management, and collaborate with analytics teams to improve data models and decision-making.

Design, build, and maintain scalable ETL/ELT pipelines and Lakehouse solutions; ingest and transform diverse data formats; optimize Databricks and SQL Server environments; implement data quality, lineage, and governance; support batch and streaming ingestion; collaborate with analysts and stakeholders to enable analytics (fraud/anomaly detection, financial oversight); troubleshoot and improve pipelines. Candidates must be willing to undergo a U.S. government background investigation.

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.

Lead architecture and execution of Grafana's marketing data stack and analytics practice. Build forecasting, predictive, and causal models, design BigQuery schemas, deploy agentic AI and automated pipelines, partner with GTM leadership, and deliver executive-grade insights to drive demand generation and ROI.

Develop and manage tariffs and pricing strategies across the energy portfolio. Analyze data and market trends, monitor competitors, produce insights to inform commercial decisions, lead pricing projects, improve pricing processes and tools, and collaborate with stakeholders to ensure compliant, competitive, and profitable products.

Analyze core product metrics, run and evaluate A/B tests, support hypothesis prioritization, dig into raw data for growth insights, compute cohort LTV/CAC/ARPU, and build revenue forecasting models for new features.

The GTM Analytics Engineer will enhance data usage across the revenue organization by refining models, designing workflows, automating processes, and partnering with teams to improve GTM strategies.