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.

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.

Lead design and implementation of scalable NLP and LLM solutions, apply advanced statistical modeling, run experiments and POCs, ensure model governance and regulatory compliance, collaborate with stakeholders, mentor junior staff, and deploy cloud-native AI/ML systems for consumer model development.

Lead analytics for branch banking by conducting advanced analyses of branch and banker performance, building KPIs, designing experiments, and translating complex data into executive-level insights. Partner with stakeholders to identify drivers of sales, engagement, retention, and efficiency, define analytical approaches, guide best practices, and deliver actionable recommendations and dashboards.

Develop, implement, and document advanced statistical, econometric, and machine learning models for credit risk. Collaborate with business partners, auditors, and regulators, work with large-scale data and distributed processing, and support credit decisioning, portfolio management, and model governance.

Lead risk analytics efforts for market and counterparty risk, partnering with front office, data and technology teams to improve risk data, infrastructure, controls, and regulatory deliverables. Analyze data, identify root causes, implement remediation, and lead strategic initiatives to strengthen data lineage, capital processes, and shared risk practices.

Lead administration and support of enterprise analytics and BI platforms, including security/authentication, data access controls, metadata management, performance tuning, upgrades, and release validation. Enable self-service analytics through documentation, onboarding, governance, and support for analysts and data scientists. Advise business stakeholders with analytic insights, lead projects and teams, ensure compliance, and troubleshoot production issues.

Lead development, administration, and support of enterprise BI and reporting solutions (primarily MicroStrategy). Perform complex data analysis, build executive dashboards and KPI reports, tune queries, manage data quality and migrations across environments, mentor staff, and collaborate across teams to resolve production issues and drive analytics improvements.

Design, implement, and optimize high-performance C++ APIs exposing a mortgage analytics library for interest rate modeling, prepayment/default analysis, derivative valuation, hedging, and forecasting. Collaborate with business, model development, validation, and IT; improve library performance, safety, reliability, and usability; deploy and test production code.

The AVP - Chief Risk Officer will lead risk assessment strategies and initiatives for the Workforce Benefits Division, overseeing risk governance and promoting a risk-aware culture.

Senior Associate in front-office strategy consulting using advanced analytics to extract insights from large datasets. Responsibilities include data manipulation, visualization, predictive modeling, building dashboards (Power BI, Tableau), integrating data sources, ensuring data security/compliance, advising clients, and mentoring junior team members to drive data-driven decisions and operational improvements.

Lead customer analytics engagements using advanced analytics, predictive modeling, and data visualization to drive client decisions. Manage project planning, budgeting, delivery, and mentor teams while building scalable data pipelines, ensuring data integrity, and collaborating with client leadership to identify improvement opportunities.

Lead strategy for Measurement & Control Solutions (MCS), overseeing long-range planning, portfolio and growth strategy, market and competitive intelligence, enterprise strategic initiatives, and a high-performing strategy team. Partner with Finance and enterprise functions to align capital allocation, define KPIs, and drive disciplined execution of digital, sensing, analytics, and software-enabled value creation across global operations.

The Senior Manager of Consumer Engagement & Lifetime Value leads strategies to enhance customer relationships and maximize long-term value through integrated marketing programs and collaboration with various teams.

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.

Drive new and expansion sales of cloud-based UCaaS and CCaaS solutions by engaging customers and internal teams, positioning AI-enabled collaboration and CX platforms, managing pipeline and forecasts, negotiating subscription agreements, and supporting deployment and lifecycle expansion to meet revenue targets.

Serve as Scrum/Flow Master to coach agile teams, facilitate ceremonies, remove impediments, track and report agile metrics, manage portfolio intake and capacity, maintain Jira portfolio visibility and health scorecards, coordinate dependencies, and support quarterly planning to ensure predictable delivery across multiple teams.

Individual contributor responsible for strengthening fraud risk management through market monitoring, control innovation, technology evaluation (including AI/automation), process improvement, vendor and product assessments, cross-functional partnership, governance support, and delivering actionable recommendations and oversight.

Lead product vision and execution for Workday HCM, driving strategy, OKRs, prioritization, and cross-functional alignment. Use analytics, configuration, and agile methods to improve employee and manager experiences and deliver measurable business outcomes.

Lead and build the Mortgage Model Development Center's mortgage data analytics capability end-to-end. Design scalable analytics frameworks across MBS/EMBS, loan performance, Intex, and loan-level datasets. Develop Python-based tools for ingestion, transformation, QC, cohort analysis, feature engineering, and mortgage analytics. Partner with model development, validation, investment portfolio, technology, and business stakeholders. Establish data quality standards, documentation, controls, production workflows, and drive adoption of AI-enabled workflows for extraction, anomaly detection, and analytics acceleration.

Develop, implement, and calibrate quantitative models for financial products and risk management. Perform advanced statistical and time-series analysis, Monte Carlo simulations, and programming in Python/R/SAS/C++/SQL. Provide analytical support, process improvement recommendations, and collaborate with stakeholders and regulators.

Serve as Scrum/Flow Master to coach agile teams, facilitate ceremonies, remove impediments, track portfolio intake and delivery, maintain Jira dashboards and health scorecards, coordinate dependencies, and support quarterly planning to ensure predictable delivery across multiple teams.

Lead design and implementation of enterprise FP&A, IBP, and xP&A processes to connect strategy, financial and operational plans, and executive decisioning. Drive AI-native planning, scenario modeling, standardized planning constructs, governance, and change management to reduce manual work, eliminate shadow models, and improve forecasting and decision support.

The Sr Director leads technology and analytics teams, managing product roadmaps, budgets, user experience, and aligning business goals with innovative strategies while overseeing project execution and team performance.

Lead and execute enterprise technology diligence for buy- and sell-side transactions, assessing applications, cloud, data, operating models, cybersecurity, and AI readiness. Synthesize qualitative and quantitative findings into actionable integration, separation, and value-creation plans while coordinating with cross-functional deal teams.