Top Analysis Reporting Jobs in Charlotte, NC

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.

Analyzes financial risk data and develops data transformation, reporting, dashboard, and visualization solutions for banking and capital markets clients. Supports quantitative analytics involving capital, liquidity, credit risk, and asset-liability management. The role also includes client collaboration, quality review, mentoring junior staff, process improvement, and automation of data movement and reporting.

Leads advanced analytics, reporting, scalable data models, dashboards, and data pipelines supporting Business and Marketing teams. Partners with senior stakeholders and AI Engineering to implement AI and machine learning workflows, predictive insights, and automation. Develops documentation, drives analytics engineering best practices, and mentors team members. Requires strong SQL, Python, APIs, data modeling, stakeholder communication, project leadership, and blockchain expertise.

Analyzes contact center call-volume trends, develops forecasts and staffing models, creates schedules, and recommends workforce requirements. The role aligns agent supply with demand, conducts workforce simulations, provides long-term forecasts, and collaborates with customer care, marketing, HR, finance, IT, and outsource partners. It also guides workforce supervisors and scheduling administrators while reporting on forecast accuracy and operational performance.

Supports digital customer-experience analysis by gathering research, customer behavior data, competitive intelligence, and performance metrics. Assists with reports, project plans, ticket submissions, presentations, and cross-functional execution. Uses Adobe Analytics and other reporting tools to develop actionable insights, support strategic initiatives, and improve customer satisfaction, loyalty, retention, and business growth through Lowe’s Launchpad rotations and technology training.

Design and maintain Python-based analytics frameworks for KYC quality assurance testing, statistical sampling, validation, and workflow automation. Integrate data from internal systems and APIs, apply statistical and machine learning techniques, identify control gaps, and improve testing efficiency. Document methodologies, assumptions, controls, and limitations for audit and regulatory review. Partner with risk, compliance, operations, and quality assurance stakeholders while communicating analytical findings and methodology decisions clearly.

Leads GSD’s internal information management strategy, data systems, workflows, dashboards, situational reports, and rapid disaster assessments. The role supervises information analysts, ensures data quality and security, translates complex field information into executive decision products, and supports preparedness and emergency response operations. It is based onsite in Charlotte, North Carolina, requires up to 35% domestic and international travel, and may include hazardous disaster deployments or extended assignments aboard a humanitarian vessel.

Build and support reliable AWS data pipelines for dyno, test rig, instrumentation, and performance data. Develop Python and SQL processing workflows, preserve engineering context, validate and link test results to engine and component identities, and publish datasets for business and manufacturing platforms. Monitor pipeline reliability, performance, data quality, and cloud costs while maintaining secure, documented, recoverable production services. Collaborate with engineering, manufacturing, IT, and business teams.

Analyzes and validates data from internal and external sources to support financial risk analytics and governance. The role monitors data quality, investigates exceptions, prepares reporting and presentations for risk committees and senior management, automates recurring processes, and supports liquidity, interest rate, capital, market, and regulatory risk analysis. It collaborates with Treasury, Balance Sheet Risk Management, data owners, and other risk partners while conducting ad hoc analyses and strategic initiatives.

Develop and advance engineering data and intelligence strategy, governance frameworks, roadmaps, taxonomies, ontologies, and semantic standards. Partner with engineering, manufacturing, procurement, product, service, and IT teams to improve data quality, accessibility, reuse, and adoption. Translate business priorities into analytics, data science, and AI initiatives; guide stewardship operating models; address integration challenges; measure business value; and lead organizational change across a complex matrixed environment.