Top Remote Data & Analytics Jobs in Greensboro, NC

Designs, develops, and maintains data pipelines, ETL processes, integrations, and complex data models. Supports analytics teams by sourcing and transforming business data for reporting and AI tools. Responsibilities include database modeling, SQL performance tuning, production support, data infrastructure development, requirements gathering, testing, deployment, stakeholder collaboration, and mentoring. The role works with relational and cloud data warehouses, data lakes, BI tools, and diverse data sources.

Owns the company’s BI platform and data strategy across clinical, operations, finance, and HR functions. Responsibilities include setting the analytics product roadmap, governing data definitions and PHI, managing platform architecture, building dbt models and dashboards, delivering healthcare quality and value-based-care analytics, deploying conversational AI, coordinating vendors and multi-team programs, and developing an analytics team. The role requires hands-on ownership of clinical data, EHR integrations, semantic modeling, governance, and executive reporting.

Builds and maintains analytical data foundations for lending, underwriting, pricing, originations, collections, and portfolio analytics. Develops reusable SQL assets, dimensional models, data marts, transformation workflows, reporting solutions, and business intelligence products using SQL, Python, dbt, Git, Snowflake, Power BI, and Sigma. Partners with technical teams, analysts, and business stakeholders to integrate data, standardize metrics, automate testing, and deliver reliable, documented, scalable analytical assets.

Perform Smart Sort activities to categorize, inventory, and classify customer records; determine whether records should be destroyed, retained, or integrated into inventory; and partner with the Records Manager on records lifecycle operations. The role requires expertise in records management, information governance, data classification, retention schedules, disposition protocols, and automated record sorting methodologies, along with strong analytical and detail-oriented problem-solving skills.

Build and maintain enterprise data pipelines and infrastructure supporting natural-language querying, semantic search, knowledge graphs, and GraphRAG for the SEC. Responsibilities include onboarding data sources, processing XBRL and financial filing data, managing metadata and lineage, validating data quality, monitoring pipeline health, resolving integration issues, and using AWS data services. The role also requires compliance with federal security standards and collaboration with the Data Architect.

Develop and maintain reports, dashboards, and business intelligence solutions to support decision-making. Consult with stakeholders, document business processes, administer business tools and systems, troubleshoot issues, and support solution implementation. Identify process-improvement and automation opportunities, manage change documentation, and respond to ad hoc data requests while collaborating across teams.

Build and operate large-scale data pipelines, web-scraping systems, and data-collection tools for AI datasets. Maintain analytical databases, optimize queries, troubleshoot pipeline and data-quality issues, manage containerized workloads across Kubernetes and Linux infrastructure, and support CI/CD workflows. The role also involves documenting technical processes, researching improvements, and developing scalable APIs in a fully remote environment.

Designs, develops, and maintains data pipelines, ETL processes, integrations, data infrastructure, and complex data models. Supports analytics teams by sourcing and transforming business data for reporting and AI tools. Responsibilities include requirements gathering, development, testing, deployment, production support, SQL performance tuning, troubleshooting, stakeholder communication, and mentoring. The role also delivers data warehouse projects and builds scalable solutions across diverse data sources and cloud-based platforms.

Gather and clarify business requirements; translate needs into user stories, acceptance criteria, workflows, and business rules. Collaborate with product, engineering, data, and QA teams throughout development. Analyze processes and operational data, support backlog refinement, validate delivered functionality, and track dependencies and requirement changes. Participate in stakeholder discovery and project discussions while helping ensure analytics platform solutions address business needs.

Maintain operational and product data quality by processing records, performing validation checks, investigating discrepancies, supporting imports and updates, monitoring workflows, preparing routine reports, documenting procedures, and coordinating issue resolution with Data, Product, Engineering, and Operations teams. The role also supports testing data-process changes and improving accuracy and consistency in a remote environment.

Prepare and maintain recurring business and operational reports, dashboards, and spreadsheets. Collect, validate, and analyze data, investigate discrepancies, monitor reporting accuracy, and translate business questions into reporting requirements. Document processes and data sources, support ad hoc analysis, present findings clearly, and collaborate with Data, Product, Engineering, and Operations teams to resolve issues and improve reporting automation.

Conducts public health data validation, management, quality assurance, geospatial and molecular HIV analysis using SAS and R. Responsibilities include developing codebooks and data management plans, identifying discrepancies, performing duplicate and comparison procedures, generating reports, interpreting results, disseminating data, and collaborating with analysts, federal partners, jurisdictions, and community-based organizations.

Develops SAS and R programs to validate, clean, analyze, and document public health surveillance and research datasets. Responsibilities include data quality checks, discrepancy identification, codebook and data management plan creation, duplicate and results comparison procedures, geospatial and molecular HIV analysis, reporting, and data dissemination. Collaborates with analysts and federal partners supporting CDC HIV prevention programs and funded jurisdictions.