Top Data & Analytics Jobs in Nashville, TN

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.

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.

Summer 2027 data analytics internship supporting advertising and marketing campaign analysis, dashboard construction, data visualization, and report development for client teams. The role is full-time, in-person at the company’s downtown Nashville office, from May 24 through July 30, 2027.

Deliver consolidated wealth management reporting throughout the Addepar servicing lifecycle, including client onboarding, account setup, data validation, quality control, report production, platform maintenance, and case resolution. Investigate discrepancies, coordinate with custodians and vendors, support Financial Advisors and clients, document procedures, improve processes, and communicate technical findings and resolutions clearly.

Supports transportation and infrastructure project teams under close supervision by conducting basic research and data collection, maintaining project records, developing maps, graphics, exhibits, presentations, and reports, and assisting with general project tasks. The role requires enrollment in a related undergraduate or graduate program and interest in GIS, transportation planning, technology, infrastructure, and environmental projects.

Designs and optimizes SQL and dbt transformation pipelines, scalable data models, semantic layers, and reusable business metrics. The role uses dimensional modeling, Data Vault 2.0, and Anchor Modeling across Snowflake, Databricks, and Azure. It partners with stakeholders to establish consistent, high-quality single-source-of-truth data, supports BI and future machine learning use cases, and follows Git-based development, testing, cataloging, lineage, and code-review practices.