Top Data & Analytics Jobs in Raleigh-Durham, NC

Summer 2027 internship supporting analytics and business intelligence teams. Responsibilities include documenting business requirements, translating them into technical and UI design steps, querying data warehouse tables, developing ETL pipelines, creating scalable data models, and building interactive reports and dashboards for business partners.

Leads data architecture for a federal Azure and Databricks AI platform supporting reporting, analytics, and machine learning. Responsibilities include guiding customers and VA stakeholders, mentoring senior engineers, designing lakehouse and warehouse architectures, building metadata-driven ingestion frameworks, governing data with Unity Catalog, enabling reporting and ML workloads, protecting PHI and PII, supporting ATO requirements, and contributing to technical proposals.

Supports PMIS and BI implementations for infrastructure and capital programs. Gathers requirements, configures project controls workflows, develops dashboards and reports, manages data integrations and governance, documents procedures, trains users, and provides system support. The role translates business and project requirements into scalable technology and analytics solutions using PMIS platforms, SQL, ETL, data warehouses, Power BI, Tableau, and related tools.

Lead a global team of data engineers and business analysts while architecting scalable data platforms, models, warehouses, and ETL/ELT pipelines. Develop SQL and Python data solutions, enforce governance and quality standards, resolve complex data issues, and support financial and operational reporting. Partner with stakeholders on forecasting, customer lifecycle analysis, performance tracking, reconciliation, and evolving business requirements.

Develop and support BigQuery solutions for a large-scale Big Data project using Looker and Google Cloud Platform. Collaborate with experienced GCP engineers on a highly visible client project. The role is fully remote within the United States, with preference for West Coast candidates.

Performs GIS production and geographic analysis using Esri software and geospatial data. Updates, converts, organizes, and troubleshoots GIS data and applications; creates maps, reports, and presentations; and supports project deliverables and deadlines. Collaborates with project managers and peers while independently solving problems and following defined processes. Transportation, stormwater, hydrology, linear referencing, and Esri production-mapping experience are advantageous.

Own and maintain the commercial SQL Server database, data pipelines, integrations, master and reference data, validation processes, and external market-data ingestion. Build trusted datasets connecting sales, product, customer, territory, and market information to Power BI reporting. Troubleshoot production incidents, improve pipeline reliability and performance, document data lineage and definitions, and serve as the commercial analytics data expert while partnering with stakeholders and source-system owners.

Designs, builds, tests, and supports enterprise data pipelines and Snowflake archival solutions for acquisitions, integrations, reporting, compliance, and analytics. Translates business and technical requirements into mappings, transformations, quality rules, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams. Oversees validation, monitoring, documentation, cutover, go-live readiness, hypercare, and operational handoff while improving reusable, secure, cost-efficient data engineering practices.

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

Collects, audits, validates, and analyzes commercial real estate, economic, and demographic data. Identifies market trends and drivers, maintains high-quality datasets, creates visualizations, presents insights to internal and external clients, supports research products and client projects, and demonstrates JLL research technology and tools.