Top Business Intelligence Jobs in Raleigh, NC

Designs and develops scalable data platforms and architectures using Azure or AWS. Translates business objectives into technical solutions, supports data warehousing, business intelligence, master and reference data management, and develops data-as-a-service capabilities. Leads client initiatives, establishes architectural governance, creates system diagrams, analyzes business processes, advises on emerging technologies, and mentors junior data professionals. The role involves significant client interaction and 30–50% travel, with remote work from a home office when not traveling.

Build and maintain branch network performance reporting, dashboards, semantic models, and analytical datasets using SQL and Alteryx. Translate banker, branch, market, and enterprise data into actionable insights for senior leaders. Lead analytical projects, manage timelines, communicate executive-ready findings, improve reporting processes, and mentor junior analysts. Partner with Distribution and Consumer Bank leadership in a hybrid, primarily onsite environment.

Design, develop, and maintain data pipelines, ETL processes, integrations, data infrastructure, and complex data models. Build and support data warehouses and analytics solutions using SQL, PL/SQL, Oracle, Snowflake, and cloud technologies. Collaborate with analysts, architects, developers, data scientists, and business stakeholders throughout the delivery lifecycle. Provide production support, troubleshoot issues, tune database performance, and contribute to data-driven reporting and AI tools.

Analyze large datasets in Databricks using Spark SQL and PySpark, create Power BI and Databricks dashboards, build data mappings and Gold-layer data products, and ensure data quality. The analyst will gather requirements, document pipelines and models, apply statistical analysis and machine learning, and collaborate with data engineers and business stakeholders. This is a hybrid Raleigh, North Carolina contract requiring onsite work up to three days weekly through April 2027.

Designs and delivers Finance BI dashboards, data models, reports, and self-service analytics. Translates Finance requirements into technical specifications, investigates data discrepancies across SAP and other enterprise systems, performs SQL-based reconciliation and root-cause analysis, and improves reporting performance and reliability. Leads testing, governance, controls, and stakeholder sign-off while evaluating automation and AI-assisted analytics opportunities.

Supports ABB operations through collaborative analytics projects. Builds and maintains Power BI dashboards and reports, connects multiple data sources, develops Power Automate workflows, and writes SQL queries for Snowflake and other databases. The intern participates in meetings, manages tasks, seeks feedback, and develops practical data and business analytics experience in an onsite/hybrid environment.

Leads Cisco’s Americas Business Intelligence and Analytics organization supporting Sales Strategy, Planning, and Operations. Sets vision and roadmaps, manages analysts, AI engineers, and data scientists, modernizes analytics, drives automation, develops enterprise dashboards and data models, and advises executive leadership. Partners cross-functionally to translate business needs into actionable insights while leveraging AI, visualization, and sales systems to improve field performance.

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.

Own executive, board, investor, financial, and operational reporting for leadership. Build scalable dashboards, define consistent KPIs, reconcile data across systems, investigate performance changes, and translate complex business questions into actionable insights. Partner with Strategy, Finance, and senior leaders to automate recurring reporting, improve data accuracy, and support actuals-versus-budget-versus-forecast analysis.

The Senior Data Analyst will develop and improve Sigma dashboards, reporting, and business intelligence capabilities. Responsibilities include gathering stakeholder requirements, querying and analyzing complex datasets with SQL, improving data quality and governance, defining metrics, automating reporting processes, and partnering on Snowflake data modeling and warehouse improvements. The role also evaluates analytics tools, delivers actionable insights, and communicates findings to technical and non-technical audiences.

Leads business intelligence strategy and analytics delivery for conversational channels including IVR, IVA, and AI-powered engagement. Partners with product, engineering, operations, and business leaders to define KPIs, measurement frameworks, roadmaps, and success criteria. Mentors BI engineers, guides Agile delivery, develops Power BI dashboards and scorecards, analyzes conversational performance, and presents recommendations to senior executives.

Serve as the primary business intelligence and analytics partner for Governance, Risk & Assurance and the General Counsel Strategy Office. Analyze complex datasets, build dashboards and data models, support data governance and risk initiatives, identify automation and AI opportunities, and translate technical findings into business recommendations. Collaborate across enterprise functions, provide reporting and technology guidance, evaluate AI solutions, and drive adoption of data-informed practices.

Develop and enhance trade and commercial reporting solutions using Snowflake, Tableau, and related BI tools. Modernize manual and legacy reporting workflows into automated dashboards and scalable analytical solutions. Translate queries and business rules across data platforms, validate reporting accuracy, investigate discrepancies, document workflows, and partner with commercial and senior stakeholders to deliver actionable insights.

Develop and enhance trade and commercial reporting solutions using Snowflake, Tableau, and related BI platforms. Modernize manual and legacy workflows into automated dashboards, migrate reporting logic across data warehouses, validate data accuracy, investigate discrepancies, document processes, and collaborate with commercial and technical stakeholders to deliver actionable reporting.

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.

Develop dashboards, reporting, and analytics solutions for business teams; monitor performance trends, data quality, risks, and key metrics; investigate complex questions; support A/B testing and instrumentation; and communicate actionable insights to technical and non-technical stakeholders. The role also requires expertise in profit drivers, unit economics, campaign and funnel performance, and the company’s analytics infrastructure.

Leads data intelligence for Medicaid, DSNP, and Marketplace procurement efforts. Analyzes claims, clinical, quality, network, operational, and competitive data; governs centralized repositories; develops proof points for RFPs; and provides strategic recommendations to proposal writers and growth leaders. Manages concurrent procurements, stakeholder relationships, reporting, continuous improvement, and staff development while supporting regulatory and competitive monitoring. Requires up to 40% business travel.

Develop and maintain Power BI reports, dashboards, visualizations, semantic models, and analytics solutions. Translate business requirements into scalable technical solutions, optimize queries and data models, ensure reporting accuracy and performance, and support data governance. Serve as the primary liaison for business users, provide training and troubleshooting, manage tickets, and collaborate with Data and QA teams. The role also advances AI and machine learning capabilities, mentors colleagues, and contributes to automation, documentation, and code reviews.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Design and build PerfectServe’s unified cloud data platform, including ingestion pipelines, integrations, data models, metrics, and consumer-facing data layers. Establish architecture, engineering, quality, and testing standards; enable safe extraction from production systems; partner with data users; and mentor data engineers. The role requires substantial cloud data platform experience, deep SQL, warehouse expertise, ELT, change-data-capture, AWS, modeling, orchestration, and data quality skills.

The Business Intelligence Analyst queries cloud data, builds dashboards and recurring reports, validates data integrity, and delivers actionable insights to business leaders. The role embeds AI tools into reporting, documents data definitions and processes, automates manual work, and partners with FP&A, Business Operations, and Data Engineering. It requires SQL, Excel, BI reporting experience, and practical AI application, with Python, R, Git, and dbt listed as preferred skills.

Leads enterprise data visualization strategy, architecture, governance, and development standards. Designs scalable Tableau-based analytics solutions, analyzes complex business problems, supports project delivery, and provides technical guidance to visualization users. Mentors junior staff, facilitates cross-functional problem solving, and advises leadership on data visualization decisions. Requires healthcare claims processing and Facets expertise, CMS Guidelines knowledge, and familiarity with fraud, waste, and abuse trends.

Lead and scale Runpod’s analytics and business intelligence function, managing analysts and BI practitioners while setting the analytics roadmap. Own core company metrics, consumption and marketplace analytics, self-service reporting, experimentation practices, and executive and board-level insights. Partner with Product, Finance, Engineering, Security, Supply, and Go-to-Market leaders to improve data quality, modeling, decision-making, and strategic outcomes.

The Business Intelligence Engineer analyzes complex internal and external data to solve business problems and deliver actionable insights to decision-makers. Responsibilities include integrating, analyzing, summarizing, and presenting data; conducting root cause analysis; using SQL, SAS, Databricks, and advanced Excel; and supporting data-driven business decisions. This is a remote role with occasional travel for training or meetings.

Leads enterprise Business Intelligence strategy, architecture, governance, security, and self-service analytics adoption. Architects solutions across Power BI, Tableau, SAP BusinessObjects, and Databricks; establishes semantic models, data standards, DevOps, CI/CD, and reporting performance practices. Partners with executives and technical teams to modernize analytics platforms, reduce manual reporting, and enable AI-ready decision-making. Mentors BI professionals and drives enterprise data literacy and analytics transformation.