Top Senior Analysis Reporting Jobs in Raleigh, NC

Develop and maintain Python automation, SQL datasets, Power BI dashboards, data pipelines, and supply chain monitoring tools. The role supports inventory optimization, procurement risk monitoring, manufacturing readiness, SAP data analysis, master data validation, and continuous improvement. It reduces manual reporting and spreadsheet processes while enabling proactive supply chain control tower capabilities.

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.

Consultant helps pharmaceutical and biotechnology manufacturers by designing and executing analytics, managing projects, analyzing data, and providing strategic recommendations based on insights from healthcare data.

Manage and evolve a cloud-native enterprise data platform across Azure, Databricks, Unity Catalog, Collibra, and Immuta. Optimize platform performance, security, scalability, observability, access, workloads, and cost. Design and maintain lakehouse architectures, batch and streaming pipelines, integrations, governance controls, and data-quality processes. Automate infrastructure and deployments using infrastructure as code and CI/CD. Lead incident response, upgrades, resilience activities, technical documentation, design reviews, and coaching while collaborating with engineering, security, architecture, governance, and business teams.

Leads business intelligence, AI, predictive analytics, data governance, and data architecture for a pharmaceutical manufacturing site. Builds dashboards, analytics pipelines, KPI frameworks, and predictive models; governs data quality, lineage, GxP compliance, FDA 21 CFR Part 11, and ALCOA+ standards. Integrates SCADA, MES, LIMS, ERP, and IoT data while developing and mentoring a technical team. Tracks business value through improvements in yield, uptime, cycle time, quality, energy efficiency, and operational performance.

Administer and optimize enterprise databases across AWS and on-premises environments. Lead database strategy, governance, security, monitoring, modernization, migration, performance tuning, replication, backup, recovery, and disaster recovery. Troubleshoot mission-critical database issues, improve platform reliability and cost efficiency, establish operational standards, and partner with application, cloud, infrastructure, vendor, and business teams. Mentor junior administrators and support automation, compliance, and long-term database roadmaps.

The Data Architect will define enterprise data architecture standards and design scalable, secure Azure-based data platforms. Responsibilities include data modeling, semantic layer design, governance, metadata and security architecture, AI-ready data foundations, platform modernization, vendor and business engagement, architecture documentation, and operational processes. The role also guides CI/CD, Infrastructure as Code, automation, prototyping, and engineering best practices while influencing enterprise-wide transformation initiatives.

Manage quantitative analytics consulting projects, including hypothesis development, data collection, modeling, analysis, research, and insight generation. Oversee analysts, collaborate with clients and partners, deliver high-quality project outcomes, manage demanding workloads, and coach team members. The role requires strong quantitative, communication, documentation, and presentation skills, proficiency with analytics software, and regular travel.

Lead analytics consulting engagements by translating business objectives into analytical roadmaps, defining and governing KPIs, assessing data quality, and conducting hands-on data exploration using SQL and Python. Partner with stakeholders and Power BI developers to design metric structures, semantic models, wireframes, and dashboards that support strategic decision-making.

Leads Wiley Research’s commercial analytics strategy, including KPI frameworks, executive dashboards, competitive intelligence, performance measurement, data governance, and scenario modeling. Advises executive and board-level leaders, aligns Finance and commercial reporting, consolidates fragmented data practices, and builds a trusted analytics capability across global teams. The role also develops analytical talent, drives self-service reporting, and translates complex findings into strategic decisions concerning growth, retention, investment, and market performance.