Top Analytics Jobs in Charlotte, NC

Provides independent oversight and credible challenge of enterprise data governance, metadata, lineage, and data quality tools. Identifies and escalates data risks, evaluates controls and platform decisions, assesses support for regulatory reporting and AI use cases, develops risk indicators and dashboards, and leads enterprise data risk transformation initiatives across business, technology, and risk teams.

Analyze credit card business performance, customer and product trends, marketing outcomes, risk, and operational efficiency. Build queries, models, and dashboards; evaluate P&L initiatives and business cases; identify risks and growth opportunities; and translate insights into actionable strategies. The role partners with marketing, finance, analytics, risk, product, technology, and operations stakeholders to support strategic decisions and measurable business outcomes.

Leads complex P&L, product, customer, marketing, credit risk, and operational initiatives for branded credit cards. Develops business cases, economic models, test plans, and data-driven strategies; evaluates revenue, costs, margins, customer outcomes, and risk. Monitors post-launch performance, recommends improvements, collaborates with cross-functional stakeholders, presents executive-ready recommendations, and mentors junior analysts.

Directs consumer credit portfolio risk analytics, monitoring, emerging-risk identification, executive reporting, and credit committee governance. Leads cross-functional initiatives, improves governance frameworks and reporting, advises senior leadership on portfolio trends and escalations, and manages a high-performing analytics team. The role requires deep consumer lending and credit-risk expertise, strong analytical judgment, executive communication, and the ability to translate complex data into actionable recommendations.

Leads the research, development, calibration, and enhancement of residential mortgage and RMBS behavioral models. Conducts empirical analysis using large-scale mortgage datasets, builds cash-flow and valuation projections, performs back-testing and stress testing, and supports pricing, portfolio management, risk, governance, and regulatory review. Provides technical leadership, reviews quantitative work, documents models, monitors mortgage-market developments, and mentors quantitative professionals.

Leads risk reporting and analytics by synthesizing complex data from multiple sources into actionable insights, executive presentations, and strategic narratives. Advises senior leaders, identifies emerging risks and business opportunities, supports risk oversight, and influences decisions across Risk, Finance, Analytics, Operations, and corporate functions. The role requires strong storytelling, presentation development, stakeholder management, and enterprise risk understanding.

Provides strategy consulting for pharma and life sciences clients, focusing on customer analytics and experience. Responsibilities include analyzing client needs, designing customer journey maps, managing segmentation and satisfaction surveys, interpreting customer data, developing value propositions, identifying improvement opportunities, and guiding teams in implementing customer experience strategies. The role also involves client relationship development, business process improvement, trend analysis, and delivering strategic recommendations that improve customer satisfaction, engagement, loyalty, and business growth.

Leads communications strategy for digital and enterprise transformation initiatives, including technology rollouts, AI adoption, and organizational change. Develops executive messaging, employee communications, presentations, FAQs, toolkits, campaigns, and engagement programs. Advises senior leaders, coordinates global communications across channels, identifies transformation stories, and measures communication effectiveness through feedback and analytics. The role translates complex technology and business priorities into compelling narratives for internal and external audiences.

Manages a data analytics team responsible for complex reporting, forecasts, dashboards, data integration, quality audits, and ad hoc analysis. Uses data trends, modeling, and optimization methods to identify business opportunities and operational improvements. Oversees strategic projects, develops data definitions and reporting specifications, presents insights to senior management, and coaches team members on analytical quality and accuracy.

Advises pharmaceutical and life sciences clients on R&D operations, clinical trial design, organizational design, process optimization, regulatory compliance, analytics, and portfolio management. Develops actionable strategies, executive presentations, and decision-support insights while coordinating projects and client workshops. Guides junior team members, supports change management, and helps clients improve R&D productivity, operational effectiveness, growth, and innovation across the drug development lifecycle.

Leads enterprise-wide process transformation initiatives, developing roadmaps, governance frameworks, operating models, and measurable value realization strategies. Partners with executives and cross-functional teams to simplify and standardize processes, enable automation and digital capabilities, manage organizational change, and drive adoption. Establishes performance metrics, mitigates risks, facilitates executive alignment, and builds high-performing transformation teams across a matrixed enterprise.

Leads enterprise-wide process transformation and strategic initiatives, including roadmap development, governance, workflow redesign, operating model improvement, value realization, and change management. Partners with executives and cross-functional teams to simplify processes, improve productivity, implement digital and AI capabilities, and deliver measurable business outcomes. Builds high-performing teams, drives adoption, manages risks and dependencies, and advances operational excellence across a matrixed organization.

Leads the enterprise technology and innovation agenda by defining strategy, identifying AI and digital productivity opportunities, building secure reusable platforms and data products, and scaling successful experiments. Establishes technology governance, responsible AI practices, investment decisions, and value realization mechanisms. Partners with business and technology leaders, external innovators, and internal teams to embed capabilities into workflows. Builds and develops a high-performing team and fosters a culture of experimentation, accountability, and disciplined innovation.

Leads LendingTree’s editorial and SEO content organization, setting enterprise-wide content strategy and editorial standards. Oversees editors, writers, and operations staff while partnering with SEO, analytics, product, technology, PR, and marketing teams. Uses performance metrics, analytics, experimentation, A/B testing, multimedia, and AI tools to improve content quality, efficiency, visibility, and engagement across search and emerging AI platforms. Manages resource allocation, financial planning, stakeholder alignment, and scalable content processes in a regulated financial marketplace.

Leads enterprise business data strategy, governance, analytics, business intelligence, AI enablement, and modernization initiatives. Establishes data ownership models, roadmaps, KPIs, and governance frameworks while partnering with executives and business functions. Builds data and analytics capabilities, develops investment cases, drives transformation value realization, promotes data literacy, and leads cross-functional change to improve decision-making and business outcomes.

Leads enterprise transformation across strategic business groups and corporate functions, translating priorities into execution roadmaps, governance, operating rhythms, and measurable outcomes. The role removes organizational and resource barriers, manages transformation portfolios, drives adoption and value realization, partners with executives, and builds sustainable change capabilities. It also advances operational excellence through process simplification, standardization, automation, analytics, AI, and digital enablement.

Leads enterprise transformation across strategic business groups and corporate functions. Translates strategic priorities into executable roadmaps, establishes governance and performance mechanisms, removes execution barriers, and drives adoption and measurable value realization. Partners with executives and matrixed teams to improve processes, operating models, productivity, and organizational effectiveness. Builds sustainable transformation capabilities through change leadership, stakeholder engagement, digital enablement, analytics, automation, and AI.

Own platform product initiatives from discovery through launch for an internal forms platform. Define requirements, user stories, acceptance criteria, and backlog priorities; partner with engineering, design, analytics, and AI/ML teams; improve mobile usability, data integrations, personalization, and conversion; define success metrics; and use research, funnel analysis, experiments, and post-launch insights to guide improvements.

Lead regional growth strategy for USDC by building partnerships with exchanges and OTC desks, delivering regionally compliant product initiatives, and creating AI-driven, automated growth platforms. Own experimentation frameworks, dashboards, and metrics to scale liquidity, adoption, and measurable share shift versus competing stablecoins through cross-functional execution and data-driven prioritization.

Lead client engagements to design and implement customer-centric sales strategies and journey maps. Manage teams, budgets, and client relationships while using CRM and customer analytics to drive growth, measure satisfaction, and coach staff to meet quality standards.

Leads business and data analytics strategy across information management, governance, reporting, analytics, and delivery functions. Oversees data platforms, reporting modernization, advanced analytics, AI and machine learning adoption, risk management, and executive insights. Builds and develops high-performing teams, manages analytics portfolios, establishes measurement frameworks, and translates complex data into business, marketing, and financial recommendations. The role requires strong stakeholder influence, strategic planning, and experience in regulated financial services environments.

Leads development and ongoing management of an enterprise money movement fact base. Integrates payment, transaction, product, system, platform, operational, and roadmap data across business lines. Establishes data structures, taxonomies, governance, and quality standards; analyzes complex datasets; identifies optimization and modernization opportunities; and develops recommendations for strategy and investment decisions. Presents findings to senior stakeholders while overseeing enterprise money movement analysis and related requests.

Leads enterprise business intelligence and analytics for Internal Audit, including Power BI dashboards, executive reporting, KPI frameworks, semantic data models, data integration, quality, governance, and advanced analytics. Translates complex data into actionable insights for senior leadership, supports risk and performance analysis, manages stakeholder requirements and delivery priorities, and mentors analytics team members.

Develop and optimize consumer credit underwriting, pricing, acquisition, and risk strategies using historical customer data. Conduct deep analysis, segmentation, modeling, sensitivity analysis, validation, reporting, and quality control. Use SQL, SAS, Excel, and other analytical tools to identify customer behavior drivers, improve profitability, mitigate losses, automate processes, and communicate insights to management and business partners.

Leads risk finance and analytics for casualty programs by developing forecasts, financial models, scenario analyses, and executive reporting. Evaluates claims, reserves, liabilities, and emerging cost drivers; partners with actuaries, finance, technology, and operations; supports accruals, insurance renewals, risk-financing decisions, controls, and audits. Serves as a subject-matter expert for data lakes, dashboards, data quality, model governance, and analytical solutions while translating insights into business recommendations.