Top Analysis Reporting Jobs in Raleigh, NC

Owns go-to-market funnel reporting and analytics from lead generation through pipeline, bookings, and ARR. The role analyzes conversion, pipeline quality, CAC, LTV, marketing ROI, and sales efficiency across segments and channels. It builds dashboards, forecasts, and executive insights while partnering with Marketing, Sales, Revenue Operations, and Finance on attribution, data integrity, budgeting, and investment decisions.

Leads BI and analytics development by designing, optimizing, and governing dashboards, analytical models, semantic layers, SQL queries, and stored procedures across Cognos, QlikView, and Power BI. Collaborates with business, data science, visualization, and engineering teams to prepare data, develop machine learning or exploratory analytics solutions, automate production workflows, and deliver actionable insights. Provides technical leadership, mentors team members, establishes standards, reviews work, and promotes reusable components and best practices.

Design and implement data ingestion patterns, scalable data-sharing solutions, and automated Azure data pipelines for migrating a legacy warehouse to a Databricks lakehouse. Use Azure Data Factory, dbt, Medallion Architecture, Java, Python, and AI-assisted development tools while collaborating across teams to ensure secure, scalable, high-performing solutions.

Monitor and verify live sports data feeds during games, identify and resolve discrepancies in real time, cross-check multiple data sources, and escalate data issues. Maintain knowledge of game schedules, rosters, rule changes, and performance metrics to ensure accurate data interpretation. The role requires strong sports knowledge, exceptional attention to detail, focus during live events, and familiarity with spreadsheets, data tools, APIs, and real-time tracking systems.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

Develop and maintain Power BI dashboards, reports, data models, and visualizations supporting commercial sales decisions. Translate business requirements into scalable analytics solutions, improve forecasting and performance reporting, troubleshoot data and reporting issues, validate releases, and maintain DataMart reliability. Partner with sales leaders, business analysts, stakeholders, and technical teams while following governance and development standards.

Leads enterprise data, analytics, reporting, and AI solution architecture, governance, and delivery. Oversees cloud data platforms, data engineering, data quality, security, analytics enablement, and AI-driven development practices. Advises executives, manages technical risks and resources, and leads teams of data and analytics engineers. Drives workforce planning, talent development, reporting automation, business intelligence, and actionable insights for Diagnostics Operations and supply chain performance.

Leads enterprise data, analytics, reporting, AI, and cloud platform initiatives. Oversees solution architecture, technical governance, data engineering, data quality, security, analytics delivery, and technology evaluations. Manages risks, dependencies, resources, and project outcomes while advising executives on data strategy. Leads and develops Data Engineers, Analytics Engineers, and technical teams, driving workforce planning, performance management, innovation, and engineering excellence.

Analyzes spatial and tabular data for planning, engineering, and infrastructure projects. Creates maps, cartographic exhibits, dashboards, web applications, and spatial datasets; performs geoprocessing and quality control; maintains GIS databases, metadata, and documentation. Provides GIS training and technical support while collaborating with project teams. The role requires ArcGIS proficiency and familiarity with geodatabases, with Python, CAD integration, enterprise GIS, and imagery processing preferred.