Top Data & Analytics Jobs in Raleigh, NC

Design, build, and operate Azure-based data pipelines and integrations. Consolidate data from multiple sources into centralized SQL systems, perform transformations and field mapping, and maintain data warehouse capabilities. Troubleshoot quality, integrity, latency, security, and reliability issues while applying governance, monitoring, and SLA practices. Collaborate with engineers, analysts, and stakeholders in Agile pods to deliver reusable, analytics-ready data assets.

Leads business intelligence and data strategy by integrating organizational systems, analyzing large datasets, and delivering actionable insights. Advises leadership and revenue-generating teams on attendance, visitor experience, fundraising, profitability, and operational improvements. Oversees data modeling, visualization, process design, project execution, budgeting, stakeholder collaboration, mentoring, and data-driven decision-making.

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.

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.

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.

Lead a consulting-focused marketing analytics team to quantify offline and digital marketing impact. Deliver analyses, recommendations, and presentations using methods like marketing-mix modeling, multi-channel attribution, digital analytics, pricing/promotion analysis, and demand forecasting. Interact directly with clients and support team growth. Role requires extensive travel (80–100%).