Top Analytics Jobs in Charlotte, NC

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.

Own long-term product strategy and roadmap for Circle's digital assets and capital markets platform. Lead cross-functional initiatives, manage regulatory and market risks, define forecasting and liquidity models, influence executives, and mentor product managers to scale global stablecoin and capital access infrastructure.

Analyze mortgage portfolio performance, valuation, cash flows, pricing, profitability, capital usage, and secondary-market execution. Develop scenario analyses, forecasts, dashboards, and reporting while evaluating mortgage products, securitization alternatives, pipeline strategies, and risk drivers. Translate complex financial and risk analytics into recommendations for senior leaders, partnering with Finance, Risk, Treasury, Mortgage Capital Markets, and business teams.

Leads mortgage and consumer lending portfolio valuation, cash flow, profitability, forecasting, and performance analytics. Evaluates mortgage pricing, origination pull-through, fallout, prepayment, rate volatility, capital costs, and securitization economics. Develops scenarios, dashboards, reports, and analytical models while partnering with Finance, Risk, Treasury, Capital Markets, Secondary Marketing, and business teams to optimize portfolios and support strategic decisions.

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

Leads customer analytics and strategy consulting initiatives that improve customer experiences, loyalty, and business growth. Responsibilities include analyzing customer touchpoints, designing journey maps, developing customer-centric solutions, overseeing multiple projects, managing executive client relationships, driving business development, mentoring leaders, promoting AI-human collaboration, and developing thought leadership across the PwC Network.

Translates business problems into analytical designs, performs quantitative analysis, and delivers data-driven recommendations. Uses disparate enterprise data sources, predictive analytics, visualization tools, and automation to support business decisions. Leads analytics projects, communicates insights to stakeholders, mentors analysts, measures business impact, and partners with development teams on tracking solutions and integrations.

Oversee securities operations, client portfolio data reconciliation, performance return analysis, discrepancy resolution, and root cause analysis. Manage operational processes including onboarding, cash payments, custody, settlement, structured loans, and general ledger reconciliation. Monitor production work, resolve escalations, strengthen controls, support audits, mitigate risk, and lead process improvements and implementation initiatives across operations teams.

Build and establish a client intelligence and analytics capability for Inventory Finance. Responsibilities include defining data sources, developing client segmentation and profitability analyses, creating dashboards and recurring reports, delivering ad hoc quantitative analysis, and translating insights into strategic recommendations. The role partners with business, technology, risk, and operations teams, supports compliance and risk management, contributes to cross-group projects, and mentors less experienced staff.

Performs moderately complex data analysis, reporting, and business consulting for Financial Crimes Operations. Extracts insights from technical systems and business processes, supports strategic initiatives, identifies engineering enhancements, leads cross-group projects, mentors staff, and applies compliance and risk management knowledge. Develops metrics, visualizations, and analytical reports using large datasets while independently managing priorities and work requests.

Design, develop, test, deploy, and maintain scalable software, APIs, microservices, data-driven solutions, and automation for an enterprise network analytics and observability platform. Lead engineering initiatives, contribute to architecture and roadmaps, troubleshoot production issues, improve reliability and performance, support CI/CD and observability, and mentor less experienced engineers.

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 strategy consulting initiatives for pharmaceutical and life sciences clients, focusing on customer experience, journey mapping, segmentation, customer data management, and engagement strategies. Manages client accounts, project planning, budgets, execution, stakeholder relationships, quality, and timelines. Coaches and mentors consulting teams while identifying opportunities for business growth and driving data-informed customer-centric improvements.

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

Participate in a 12-month quantitative analytics program with two rotations focused on applied AI, machine learning, generative AI, agentic systems, and advanced modeling. Develop, fine-tune, evaluate, optimize, and deploy language models and scalable AI pipelines. Work with LLM agents, RAG, distributed training, model monitoring, and quantitative validation while collaborating with technical and business teams on financial-services challenges.

Leads cross-sell sales strategy and enterprise growth across Honeywell’s Life Sciences portfolio. Builds executive relationships, expands strategic accounts, drives ARR, revenue, profitability, and pipeline performance, and leads consultative sales of software, automation, cybersecurity, services, and smart facility solutions. Develops sales talent, coordinates cross-business teams, guides transformation initiatives, and positions Honeywell as a strategic partner for regulated manufacturing, quality, operational excellence, and digital transformation.

Leads cross-selling and strategic sales growth across Honeywell’s Life Sciences portfolio. Develops executive relationships, account-based growth strategies, and enterprise transformation opportunities spanning quality, manufacturing, facilities, automation, cybersecurity, AI, software, and services. Owns orders, revenue, profitability, ARR, forecasting, pipeline health, and business performance. Builds and coaches a high-performing sales organization while coordinating cross-functional teams to deliver integrated customer solutions and long-term business value.

Lead and scale enterprise IAM operations and governance, ensuring identity lifecycle, provisioning, certifications, entitlement accuracy, and privileged access oversight. Drive IAM as Tier 0 services with high availability, automation, and AI/ML-enabled risk detection. Partner with Risk, Audit, HR, and engineering to align controls, remediate findings, and deliver KPIs while building a high-performing IAM leadership team.

Manage day-to-day affiliate and creator operations for Lowe's Creator Program, including commission setup, tracking, attribution troubleshooting, payment and cancellation workflows, fraud detection, platform administration, recurring reporting, and performance analysis to drive creator monetization and program integrity.

Design, build, test, deploy, and support scalable data analytics, BI, and reporting solutions using Azure, SQL Server, Power BI, OLAP and ETL tools. Own end-to-end delivery in a small Agile team, perform data modeling, performance tuning, production support, and apply data governance and AI-enabled tools to improve automation and insights.

Develops credit card analytics strategies to grow partner relationships and customer engagement. Integrates and analyzes large data sets, applies statistical techniques and predictive modeling, builds secure data environments, evaluates measurement tools, and delivers actionable insights. Leads dashboard and performance metric development while collaborating with marketing, product, analytics, vendors, and other cross-functional teams.

A 10-week quantitative analytics internship for PhD candidates. Interns apply statistics, artificial intelligence, machine learning, and programming to credit risk, fraud detection, operational loss, portfolio forecasting, model validation, and consumer decisioning projects. The role includes technical training, mentorship, collaboration with quantitative professionals, and exposure to senior leaders. High-performing interns may be considered for full-time roles after graduation.

Build and maintain data ingestion, staging, historical repositories, canonical models, exception management systems, data quality controls, reconciliations, and lineage documentation for regulatory reporting and risk analytics. Analyze complex data issues, support testing and production activities, and collaborate with risk, compliance, audit, business, and technology stakeholders. Develop datasets for Power BI and executive reporting within regulated financial services environments.

Leads enterprise analytics transformation by managing integrated plans, milestones, resources, dependencies, risks, governance, executive reporting, and stakeholder decisions. Partners across business, technology, data, product, controls, and change teams to deliver certified data products and AI capabilities. Drives communications, training, onboarding, adoption, operating-model improvements, and alignment of investments to enterprise priorities.