Top Data & Analytics Jobs in Raleigh, NC

Leads portfolio intelligence and analytics for Seeds R&D investment decisions. Develops portfolio frameworks, dashboards, reports, forecasting models, predictive analytics, and interactive tools using Python, R, and Shiny. Analyzes portfolio value, performance, scenarios, resource allocation, risks, and investment opportunities. Partners with Finance, Strategy, Digital, and R&D stakeholders to translate complex data into actionable recommendations while strengthening data governance, platform strategy, reporting automation, and stakeholder adoption.

Develop and support ETL and data integrations using Informatica MFT, DBT, and Snowflake. Analyze structured and unstructured data across multiple platforms, create validation scripts, perform profiling and anomaly detection, and define data quality rules. Translate business needs into functional requirements, transformation rules, and technical designs while collaborating with business, ETL, data science, and IT teams. Maintain metadata and lineage, manage defects, and support Agile project delivery.

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.

Serve as analytics partner to SIU and Payment Integrity teams to develop dashboards, financial and operational reports, analyze healthcare claims, design statistically valid sampling for audits, support investigations and recoveries, improve data quality, and communicate insights to leadership to drive savings and efficiency.

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.

Analyze large and complex datasets to identify debit card fraud signals, detect anomalies and coordinated fraud attacks, and implement prevention strategies in real-time decisioning systems. Partner with data scientists, fraud strategists, and business stakeholders to refine rules and models, conduct fraud hunting and data discovery, communicate actionable insights, and influence fraud prevention product decisions.

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.