Top Analysis Reporting Jobs in Nashville, TN

Owns complex consumer experience reporting and analytics initiatives, developing scalable data models, dashboards, scorecards, and executive insights. Partners with product, operations, engineering, and data teams to define metrics, ensure data quality, govern reporting standards, and improve self-service analytics. Leads functional projects, resolves ambiguous analytical challenges, mentors analysts, and evaluates automation and AI-enabled capabilities.

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.

Design, build, deploy, and operate production-grade data pipelines and products for healthcare and marketing datasets. Implement data models, Airflow workflows, data-quality controls, and PHI/PII privacy controls. Collaborate with product, analytics, and platform teams to support audience discovery, segmentation, activation, measurement, and reporting.

Manages information governance, risk, and compliance initiatives focused on attorney and client onboarding, offboarding, client transfers, legal holds, and electronically stored information. Coordinates data identification, collection, classification, transfer, metadata accuracy, repository tracking, security controls, and workspace access. Supports attorneys and business teams, resolves policy inquiries, develops compliance procedures and educational materials, and contributes to technology workflows, integrations, analytics, and internal controls.

Verifies and updates missing or invalid client, testing, billing, and specimen information. The role performs root cause analysis, manages escalated issues, coordinates with internal teams and clients, documents resolutions, and implements process improvements. It also provides coaching, training, and feedback to specimen collectors, managers, clients, and sales leadership to improve order quality, reduce missing information, and support efficient sample testing and billing.

Design, build, test, deploy, and support scalable cloud-native data pipelines and data products. Implement data models, transformations, and CI/CD-driven solutions using Databricks, Prefect, Azure, and software engineering best practices. Monitor, troubleshoot, and optimize production workloads while collaborating with architects, product teams, and stakeholders.

Reviews and validates music royalty statements, investigates data inconsistencies, and converts financial reports into standardized datasets. Builds Python automation tools, collaborates with Engineering, Finance, Investment, Research, and Product teams, monitors operational metrics, and improves workflow speed, accuracy, and scalability. The role supports pricing, underwriting, portfolio monitoring, and internal decision-making while helping design scalable data-processing processes.

Leads teams delivering IT solutions and manages architecture, systems analysis, development, integration, deployment, maintenance, budgets, vendors, and technical support. Assesses business and client requirements, develops technology plans, ensures architectural compliance, resolves technical issues, coordinates software and hardware implementations, monitors performance, and manages training. Supervises staff, oversees hiring and performance management, negotiates contracts, and partners with business units on technology strategy and investments.

Full-time summer intern supporting the Data & Analytics team through data analysis, report preparation, data visualization, database and SQL work, process improvement, and special projects. The intern will shadow experienced employees, attend meetings and events, and learn business operations, data management, and industry trends while developing practical analytical skills.

Analyze supply chain data to identify trends, bottlenecks, performance gaps, and improvement opportunities. Develop dashboards, data objects, and reports for supply chain KPIs; collaborate with cross-functional stakeholders to investigate root causes and implement solutions. Communicate insights clearly, support analytics tool deployment, and contribute to continuous improvement and data-driven decision-making.