Top Analysis Reporting Jobs in Charlotte, NC

Lead insights for Lowe's Media Network: engage clients on media performance, develop strategic learning plans, run QBRs, synthesize multi-source data into optimization recommendations, oversee reporting and visualization, support A/B testing, and partner with sales, product, and ad-tech to grow retail media business.

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 design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Paid, full-time summer internship analyzing customer communication data, optimizing customer touchpoints, identifying message overlap with SQL, and building interactive Tableau dashboards. The intern will help reduce over-messaging, improve customer journeys, participate in professional development and networking activities, and collaborate with departmental teams and an intern cohort.

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.

Design, build, and operate scalable real-time and batch data pipelines ingesting high-frequency telemetry, simulation, and trackside data. Own Kafka/Flink streaming components, Databricks lakehouse implementations, and infrastructure-as-code deployments. Develop software in Python/Java/SQL, integrate systems, automate testing and releases, performance-tune pipelines, and mentor peers to ensure resilient, secure, high-performance data delivery for motorsports teams.

Supports AML quantitative analytics by extracting, merging, transforming, and analyzing client and transaction data from multiple databases. Develops insights, documents quantitative methods, communicates findings to technical and non-technical stakeholders, validates data quality, and enhances analytical capabilities supporting BSA/AML compliance programs. Collaborates with business, risk, and technology partners in a regulated financial environment.

Performs advanced analysis of financial, market, and portfolio data to improve risk, profitability, forecasting, and operational performance. Develops scalable reporting and analytics solutions, identifies trends, translates complex data into strategic recommendations, and leads performance reporting for senior management. Partners with Risk, Product, Operations, and other cross-functional teams on strategic initiatives. The role also evaluates fraud risk and develops mitigation strategies.

Analyzes website and digital marketing performance data, builds dashboards and reports, supports tracking implementation, and evaluates A/B and multivariate tests. The role identifies customer behavior trends, conversion opportunities, and digital performance insights, translating complex analyses into actionable recommendations for Marketing, Product, Engineering, agencies, and leadership.

Leads wealth performance and business analytics supporting sales, investment performance, products, and strategic decisions. Develops actionable insights using market data, statistical analysis, quantitative methods, and predictive modeling. Manages analytics initiatives, produces reports, presents findings to senior management, and advises business leaders on performance and market opportunities.

Design and implement scalable enterprise data platforms and pipelines using Databricks, Spark, Python, and SQL. Build lakehouse, data lake, warehouse, batch, and streaming solutions; integrate insurance data; and implement modeling, governance, security, quality, and lineage practices. Optimize workloads, support cloud modernization, troubleshoot production issues, collaborate with stakeholders, and mentor engineers. Insurance domain experience and at least 12 years of professional experience are mandatory.