Top Data & Analytics Jobs in Charlotte, NC

Leads teams responsible for enterprise data engineering, analytics platforms, data modernization, governance, and AI context-layer development. Oversees data pipelines, models, integrations, metadata, ontologies, knowledge graphs, reliability, security, compliance, and cloud adoption. Sets strategy, manages budgets and resources, partners with executives and product leaders, drives risk controls and operational excellence, and develops engineering talent. The role also supports AI assistants and self-service analytics through governed enterprise data, semantic layers, and contextual metadata.

Leads a global client insights team delivering media measurement, analytics, reporting, and strategic recommendations for Lowe’s Media Network clients. Translates business and marketing objectives into measurement plans, oversees complex analyses, drives data storytelling and visualization standards, and advises Sales, Account Management, and Media Planning teams. Acts as a category expert and senior client consultant while influencing measurement capabilities, product roadmaps, and strategic investment 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.

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.

Develops and delivers recurring, regulatory, operational, and management reports; performs SQL-based analysis on complex datasets; validates and reconciles data; troubleshoots discrepancies; maintains reporting governance and documentation; responds to ad hoc requests; and translates stakeholder needs into accurate, actionable data insights.

Develop and maintain cloud-based data pipelines, integrations, and ETL/ELT processes supporting analytics and operational reporting. Build Snowflake and Azure solutions using Databricks and Storage services, assist with cloud migrations, and support API and MuleSoft integrations. Troubleshoot pipeline issues, ensure data quality and governance, participate in testing and code reviews, and collaborate with technical and business stakeholders. The role also requires documentation, secure data practices, and continuous learning.

Lead analysis and optimization of enterprise authentication fraud strategies. Evaluate authentication performance, identify risks and trends, conduct root-cause analyses, develop monitoring metrics, partner cross-functionally, support model governance, evaluate vendor solutions, and translate analytics into strategic, executive-ready recommendations to reduce fraud losses while preserving customer experience and compliance.

Lead paid media analytics for Life Company, using SQL/Python and advanced statistics to measure and optimize paid social/search and AI-powered search. Build audience segmentation, run incrementality/experimentation, create visualizations and recommendations, and partner with marketing to drive acquisition and engagement.