Top Senior Analysis Reporting Jobs in Raleigh, NC

Leads complex data management and analytics initiatives, including backlog refinement, solution design, database and ETL implementation, BI delivery, Agile ceremonies, and stakeholder coordination. Oversees data modeling, metadata, lineage, reference data, quality rules, anomaly detection, and governance. Consults with business, IT, architecture, ETL, BI, and data science teams to define requirements, technical designs, integrations, and enterprise data standards.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Build and maintain scalable enterprise data models, ETL/ELT pipelines, and data-processing solutions using Azure, Databricks, SQL, and Python. Support analytics and AI/ML workflows, implement data security and compliance for PHI/PII, ensure data quality and audit readiness, and create dashboards using Power BI or Tableau. Collaborate with cross-functional stakeholders to deliver governed, reliable data products and AI-powered solutions.

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.

Manage data engineering and analytics initiatives spanning SQL analysis, Power BI dashboards, dimensional data modeling, cloud data warehouses, and ETL pipelines. Partner with business stakeholders to translate questions into actionable insights and communicate findings clearly. Apply AI-assisted tools and evaluate LLM-based analytics capabilities such as natural-language querying, automated insight generation, and anomaly detection.

Develops Power BI dashboards and data solutions for loan portfolio reporting, credit risk monitoring, and regulatory compliance. Translates complex banking data and FDIC reporting requirements into actionable insights, semantic models, and automated reporting tools. Partners with stakeholders across the organization, drives data cleansing and optimization, supports data roadmaps, and provides recommendations under regulatory deadlines. The role requires financial services knowledge, strong analytical and communication skills, leadership, and expertise with Power BI, Databricks, SQL, DAX, and related data modeling technologies.

As a Senior Commercial Insurance Analyst, you'll perform complex analyses on data to drive business performance and risk outcomes. You'll collaborate with various teams, generate actionable insights, and mentor junior analysts, all while fostering a data-driven culture and improving operational efficiency.

Senior Business Analyst supporting a public health Data Modernization Initiative. Responsibilities include stakeholder and process analysis, requirements gathering, workflow and system documentation, user stories, testing, UAT, traceability, procurement documentation, gap analysis, and go-live support. The role collaborates with project managers, developers, and end users, prepares Agile and PMO deliverables, and travels locally in the Raleigh area for meetings.

Designs, builds, tests, and supports enterprise data pipelines for acquired-company system integration and Snowflake archival. Translates business and technical requirements into mappings, transformations, quality controls, monitoring, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams to deliver governed, reusable data solutions. Supports migration, cutover, validation, documentation, hypercare, and operational handoff while improving automation, performance, cost efficiency, and data observability.