Top Business Intelligence Jobs in Charlotte, NC

Leads the design and development of data architecture, telemetry, reporting, and analytics solutions for business operations. Builds data engineering capabilities supporting KPI reporting, workforce analytics, dashboards, automation, and self-service insights. Establishes data quality, governance, and controls while partnering with Technology teams to integrate enterprise data sources. Supports AI-enabled insights and continuous improvements in reporting speed, scalability, quality, and usability.

Lead client engagements to assess business challenges, define enterprise data and AI strategies, develop roadmaps, guide solution design and delivery, provide technical leadership and mentoring, and support practice growth via presales and thought leadership.

Lead a 10+ person marketing science team to centralize customer segmentation, programmatic media and audience strategy, marketing analytics and BI, attribution (lift and econometrics), ad operations, privacy/compliance, and martech. Build data products and automation for scalable media activation, provide reporting and insights for stakeholders and ELT, and collaborate cross-functionally to align measurement and marketing strategy.

Own global compensation cycle administration, system configuration, benchmarking, job architecture, salary structures, pay reporting, equity support, and compensation analysis across the Americas, EMEA, and APAC. Partner with HR, recruiting, payroll, legal, finance, and managers on offers, promotions, pay equity, and transparency requirements. Improve compensation operations through AI and automation, maintain data integrity, and deliver training and communications on compensation programs.

Leads technology strategy and execution for the Neuromodulation business unit, partnering with executive leadership to align IT capabilities, digital transformation, data and analytics, governance, risk, budgets, vendors, and enterprise priorities. Oversees strategic programs, technology architecture, workforce development, compliance, and continuous improvement while building a data-driven culture and trusted relationships across business and IT teams.

Build and lead Rubrik’s global professional services resource management and capacity planning function. Standardize workflows across NAM, EMEA, and APAC; improve data integrity, reporting, automation, and PSA system adoption; forecast capacity and demand; manage subcontractor partnerships; and provide executives with utilization and talent distribution insights. Partner with delivery, finance, HR, and regional leaders to drive consistent global execution and operational efficiency.

Advises state and local government customers on complex GIS challenges, designs and demonstrates Esri solutions, supports account-team sales efforts, leads technical meetings, and presents to executive and technical audiences. The role requires expertise in ArcGIS, spatial analysis, web applications, enterprise IT architecture, cloud platforms, integrations, geodatabases, and solution consulting. It also involves troubleshooting deployments, coaching colleagues, and traveling domestically or internationally 25–50%.

Supports enterprise sales by serving as the technical and product expert for Wavelytics, an AI-powered analytics suite. Responsibilities include delivering technical demonstrations, positioning analytics and AI capabilities, translating complex solutions into business value, addressing security and governance questions, supporting customer adoption, creating sales playbooks, and collaborating with Product and Marketing to improve roadmap alignment, retention, and revenue growth.

Lead end-to-end Revenue Operations for a high-growth B2B SaaS company: build GTM operating model, own forecasting and analytics, manage GTM systems (Salesforce/CPQ/marketing automation), drive AI automation, enable cross-functional alignment, and deliver executive revenue insights to scale enterprise sales.

Provides technical sales leadership for Esri GIS solutions, advising enterprise customers, demonstrating ArcGIS capabilities, designing integrations and architectures, troubleshooting deployments, and aligning solutions with business needs. Builds customer relationships, leads technical meetings, supports revenue generation, develops presentations, and coaches team members. Requires extensive Esri experience, commercial industry knowledge, cloud and systems integration expertise, programming skills, and 25–50% travel.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Owns and grows customer accounts within an assigned territory by prospecting dealers, activating underpenetrated accounts, identifying upsell opportunities, recommending products, and increasing unit and revenue growth. Maintains CRM data, uses analytics and market intelligence, develops customer relationships, collaborates with internal teams, travels throughout the territory, and attends trade events.

Leads global FP&A for the Applied Water business, including financial planning, forecasting, budgeting, reporting, variance analysis, risk management, and performance improvement. Partners with Sales, Marketing, Operations, HR, and Finance leaders to provide actionable insights and support strategic decision-making. Advances Business Intelligence capabilities, improves financial processes, ensures compliance, and communicates performance to senior management and corporate headquarters.

Own and engineer Arcadia's go-to-market technology stack (Salesforce, Planhat, RocketLane), building integrations, automations, and AI agents. Lead platform overhaul, data quality, reporting, deployments, documentation, user enablement, and cross-team partnership to scale Sales, Marketing, and Customer Operations.

The ERP Solution Architect will lead ERP implementations, design solutions, oversee system integration, and collaborate with teams to maximize ERP system value.

Leads client services and cross-functional delivery teams supporting enterprise software implementations. Oversees end-to-end project execution, client relationships, business-process transformation, stakeholder education, requirements documentation, and ongoing value delivery. Applies revenue growth management expertise across pricing, trade promotions, assortment, or supply planning, while collaborating with technical teams on AI, machine learning, and analytics solutions.

Leads the global Marketing Operations function, building scalable processes, systems, and teams. Owns the marketing technology ecosystem, HubSpot and Salesforce integration, data quality, attribution, pipeline reporting, lead management, campaign operations, AI-enabled automation, and budget performance. Partners with Marketing, Sales, Revenue Operations, Finance, and executives to improve funnel visibility, marketing ROI, lead conversion, and investment decisions. Presents trusted performance and pipeline insights to executive leadership and the Board.

Senior Database Analyst/Administrator responsible for database architecture, administration, performance, security, data modeling, warehousing, ETL, migration, and data integrity. Develops SQL Server database objects, dimensional models, enterprise data marts, BI dashboards, and Splunk monitoring reports. Collaborates with stakeholders to translate business needs into technical requirements, supports Agile development, conducts code reviews, and implements cloud and hybrid-cloud database solutions.

Own the go-to-market operational infrastructure across revenue systems, sales processes, marketing operations, analytics, forecasting, and automation. The role manages Salesforce and HubSpot integrations, pipeline visibility, deal and lead scoring, data quality, campaign attribution, territory and quota planning, and win/loss analysis. This leader partners with Sales, Marketing, technical teams, and executives to improve sales-cycle efficiency, forecast accuracy, and scalable revenue execution.

Owns and leads commercial master data management across HCP, HCO, payer, patient, product, and organizational domains. Establishes governance frameworks, stewardship programs, data quality standards, matching and survivorship rules, and trusted golden records. Manages commercial data platforms, integrations, analytics datasets, releases, vendors, and offshore teams. Writes SQL, builds validations and data pipelines, troubleshoots integrations, supports commercial launches, and drives operational improvements across pharmaceutical commercial systems.

Manage assigned SMB customer accounts as primary contact, drive renewals, upsell/cross-sell and service opportunities, maintain customer relationships and satisfaction, and meet quota targets to grow annual recurring revenue.

Leads data and analytics transformation strategy for major client programs, defining roadmaps, use cases, architecture direction, and operating models. Advises senior stakeholders, facilitates strategy workshops, aligns programs to KPIs and value frameworks, supports governance and risk management, contributes to proposals and pre-sales, and mentors consulting and analytics teams.

Drive new pipeline through strategic account planning, engagement with executives, and maintaining relationships to achieve revenue targets across enterprise sales.

Leads the Sales Analytics and Reporting function and manages Sales Analysts. Oversees dashboards, scorecards, KPI tracking, profitability analysis, business insights, executive reporting, and sales technology platforms. Partners with Sales, Finance, Product, Technology, and other stakeholders to improve performance, profitability, planning, and decision-making. Develops team capability, reporting processes, platform adoption, and analytical effectiveness while translating complex data into actionable recommendations.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.