Top Data & Analytics Jobs in Nashville, TN

Designs, builds, and operates scalable enterprise data platforms and batch or streaming pipelines using Azure, Databricks, Snowflake, Delta Lake, and Azure Data Factory. Develops PL/SQL, Python, and Unix-based processing solutions, enables Generative AI workflows, and drives data architecture, governance, quality, security, and DevOps practices. Leads modernization and production support, partners with business and technical stakeholders, mentors engineers, and provides technical leadership for AI-enabled data solutions.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

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.

Defines and executes enterprise data strategy and architecture, transitioning legacy integrations to domain-driven data products. Establishes systems of record, governance standards, data ownership, and modernization roadmaps. Leads adoption of scalable, event-driven and real-time data patterns, evaluates platforms and integration technologies, and aligns executives across business and technology teams. Provides architectural mentorship and drives enterprise-wide migration, data quality, compliance, and adoption without direct reports.

Lead and grow a data engineering team to build a trusted, fast, composable, and self-serve data platform. Define architecture and roadmap for ingestion, transformation, governance, and analytics; ensure reliability, observability, and security; partner cross-functionally with Product, Analytics, Security, and Engineering; be a hands-on player-coach delivering scalable data systems using Snowflake, dbt, and self-serve analytics.

Leads operational reporting, analytics, quality monitoring, and data improvement for Government Savings Operations. Manages analysts, oversees KPI and SLA reporting, identifies trends and data-quality issues, and delivers actionable recommendations to leadership. The role drives reporting automation using Power BI and AI-enabled tools, reduces manual data preparation, supports forecasting and capacity planning, maintains controls and documentation, and partners with operations and technology teams on continuous improvement and regulatory compliance.

Design, build, and operate large-scale Hadoop-based data platforms and pipelines. Develop batch and streaming workflows using Spark and related technologies, ingest and transform structured and unstructured data, and support analytics, machine learning, and reporting. Ensure production platforms are reliable, performant, scalable, and cost-effective while troubleshooting distributed systems, documenting solutions, and collaborating on cloud, lakehouse, governance, Kubernetes, CI/CD, and infrastructure-as-code initiatives.

Analyzes producers’ books and internal and external data to identify insurance cross-sell opportunities. Uses data mining, AI methods, Power BI, Excel, and Dynamics 365 to generate reports, uncover trends, and provide actionable recommendations. Collaborates with producers, regional teams, national business-line teams, and other stakeholders to build cross-selling pipelines and support producer engagement.

Analyzes call center operational data from ITSM, telephony, and workforce management systems. Develops dashboards, scorecards, recurring reports, and customer-facing performance deliverables. Monitors trends, SLA compliance, quality metrics, and staffing data; performs root cause analysis and recommends improvements. Maintains data governance standards, reporting infrastructure, and documentation; supports operational reviews and stakeholder briefings. Mentors junior analysts and responds to ad hoc reporting requests.

Analyzes business data to identify trends, anomalies, and opportunities; fulfills reporting requests; maintains and builds Tableau dashboards; writes SQL queries; uses Excel and AI tools for analysis; validates data quality; and communicates actionable insights to stakeholders. The role also documents reporting processes, manages competing priorities, and partners with teams to translate business questions into dashboards and analyses.