Top Data & Analytics Jobs in Raleigh, NC

Analyze gaming performance across game types, venues, states, devices, days, and player demographics. Produce quarterly reports, identify gameplay and player-behavior trends, and recommend data-driven improvements to product strategy, engagement, and revenue. Partner with account teams, visualize findings in Tableau and Power BI, and present actionable insights to leadership and field teams. Manage multiple priorities while working with ambiguous, semi-structured data and AI-assisted analytical tools.

Leads the design, development, and delivery of database, business intelligence, data warehouse, and data integration solutions. Provides architectural guidance, gathers complex business requirements, establishes development standards, and leads technical teams. Designs data models, ETL jobs, metadata repositories, and ODI integrations; maintains database models; and audits performance, service-level compliance, and system health across telecommunications and real estate data environments.

Lead data engineering initiatives for pharmaceutical and biotech clients by building cloud-based data pipelines, warehouses, processing systems, analytics, and visualization tools. Responsibilities include analyzing business requirements, transforming big data, identifying insights, advising on standards and best practices, estimating engineering efforts, collaborating with stakeholders and leadership, and supporting growth of the data science business.

Build, operate, and enhance Banc of California’s Azure- and Snowflake-based data platform. Develop batch, CDC, and streaming ingestion pipelines; optimize Snowflake performance; support dbt workloads; implement CI/CD, DataOps, monitoring, automation, and disaster recovery. Provide Tier 2 production support and administer tools including Power BI, Purview, and Alteryx. Collaborate with data engineering, architecture, BI, and business teams to deliver secure, reliable, governed data solutions.

Eight-week summer internship supporting client-facing analytics projects. Responsibilities include analyzing large, complex datasets, developing and validating statistical models, and presenting and documenting findings in client-ready formats. The role requires collaboration with Oliver Wyman teams and clients, strong communication, independent execution, and practical problem-solving. The position is based in Raleigh, North Carolina, with some potential travel to client sites.

Eight-week client-facing analytics internship involving large datasets, customized analyses, advanced statistical models, and model development or validation. The analyst will collaborate with consulting teams and clients, summarize and document findings, and present client-ready solutions. Candidates should have quantitative academic backgrounds, experience with R, SQL, and Python, strong communication and teamwork skills, and unrestricted U.S. work authorization.

Provide timely, accurate royalty and content analytics and financial reporting to support business decisions. Analyze large datasets to identify trends, anomalies, and allocation impacts; support monthly royalty reconciliation; design and automate reporting and data structures; respond to licensing and royalty inquiries; prepare analytical materials for commercial and content planning; and drive process improvements to ensure reporting integrity and operational effectiveness.

Support end-to-end data warehouse lifecycle: gather requirements, design systems and ETL (Teradata), develop, tune performance, document for SOX, provide production support and occasional on-call pager rotation.

Lead design and delivery of secure, scalable cloud and on‑prem data architectures. Drive adoption of cloud services, streaming, NoSQL, and modern data warehouses; mentor teams, improve data quality/integration, and align architecture with business needs.

The Cognos Developer will use Cognos skills to build a reporting framework for the client, collaborating with data and user representative teams to create reports.